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1Computational Exome and Genome Analysis
P. Robinson, R. Piro, and M. Jäger. CRC Press, Taylor & Francis Group, Boca Raton, FL, (2018)
6 years ago by @marcsaric
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MUSTREAD
exome
genomics
textbook
MUSTREADexomegenomicstextbook
(1)
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2NCBI GEO: archive for functional genomics data sets--update
T. Barrett, S. Wilhite, P. Ledoux, C. Evangelista, I. Kim, M. Tomashevsky, K. Marshall, K. Phillippy, P. Sherman, M. Holko and 7 other author(s). Nucleic Acids Res, 41 (Database issue): 991-995 (January 2013)
7 years ago by @marcsaric
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database
genomics
microarray
databasegenomicsmicroarray
(0)
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2ArrayExpress update--simplifying data submissions
N. Kolesnikov, E. Hastings, M. Keays, O. Melnichuk, Y. Tang, E. Williams, M. Dylag, N. Kurbatova, M. Brandizi, T. Burdett and 8 other author(s). Nucleic Acids Res, 43 (Database issue): 1113-1116 (January 2015)
7 years ago by @marcsaric
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database
genomics
microarray
databasegenomicsmicroarray
(0)
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1Clostridioides difficile 630Δerm in silico and in vivo – quantitative growth and extensive polysaccharide secretion
H. Dannheim, S. Will, D. Schomburg, and M. Neumann-Schaal. FEBS Open Bio, 7 (4): 602--615 (2017)
7 years ago by @brenda_bs
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Clostridioides
difficile
genomics
myown
polysaccharide
secretion
Clostridioidesdifficilegenomicsmyownpolysaccharidesecretion
(0)
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1Public data and open source tools for multi-assay genomic investigation of disease
L. Kannan, M. Ramos, A. Re, N. El-Hachem, Z. Safikhani, D. Gendoo, S. Davis, D. Gomez-Cabrero, R. Castelo, K. Hansen and 5 other author(s). Brief Bioinform, 17 (4): 603-615 (July 2016)
7 years ago by @marcsaric
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MUSTREAD
database
fulltext
genomics
review
software
MUSTREADdatabasefulltextgenomicsreviewsoftware
(0)
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2Savant Genome Browser 2: visualization and analysis for population-scale genomics
M. Fiume, E. Smith, A. Brook, D. Strbenac, B. Turner, A. Mezlini, M. Robinson, S. Wodak, and M. Brudno. Nucleic Acids Res, 40 (Web Server issue): 615-621 (July 2012)
7 years ago by @marcsaric
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database
fulltext
genomics
databasefulltextgenomics
(0)
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3Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer: A Joint Consensus Recommendation of the Association for Molecular Pathology, American Society of Clinical Oncology, and College of American Pathologists
M. Li, M. Datto, E. Duncavage, S. Kulkarni, N. Lindeman, S. Roy, A. Tsimberidou, C. Vnencak-Jones, D. Wolff, A. Younes and 1 other author(s). J Mol Diagn, 19 (1): 4-23 (January 2017)
7 years ago by @marcsaric
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cancer-research
genomics
therapy
cancer-researchgenomicstherapy
(0)
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1DNA Sequence Analysis in Clinical Medicine, Proceeding Cautiously
M. Smith. Front Mol Biosci, (2017)
7 years ago by @marcsaric
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cancer-research
fulltext
genomics
personalized-medicine
precision-medicine
therapy
cancer-researchfulltextgenomicspersonalized-medicineprecision-medicinetherapy
(0)
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4Mutational landscape and clonal architecture in grade II and III gliomas
H. Suzuki, K. Aoki, K. Chiba, Y. Sato, Y. Shiozawa, Y. Shiraishi, T. Shimamura, A. Niida, K. Motomura, F. Ohka and 21 other author(s). Nat Genet, 47 (5): 458-468 (May 2015)
7 years ago by @marcsaric
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PAYWALL
cancer-research
genomics
glioma
PAYWALLcancer-researchgenomicsglioma
(1)
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1From human genome to cancer genome: the first decade
D. Wheeler, and L. Wang. Genome Res, 23 (7): 1054-1062 (July 2013)
7 years ago by @marcsaric
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cancer-research
fulltext
genomics
cancer-researchfulltextgenomics
(0)
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3Cancer genome landscapes
B. Vogelstein, N. Papadopoulos, V. Velculescu, S. Zhou, L. Diaz, and K. Kinzler. Science, 339 (6127): 1546-1558 (March 2013)
7 years ago by @marcsaric
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cancer-research
funding
genomics
cancer-researchfundinggenomics
(0)
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3Next-generation genomics: an integrative approach
R. Hawkins, G. Hon, and B. Ren. Nat Rev Genet, 11 (7): 476-486 (July 2010)
7 years ago by @marcsaric
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fulltext
genomics
tcga
fulltextgenomicstcga
(0)
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1A User's Guide to the Encyclopedia of DNA Elements (ENCODE)
T. Consortium. PLOS Biology, 9 (4): 1-21 (April 2011)
7 years ago by @marcsaric
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ENCODE
SHOULDREAD
database
genomics
ENCODESHOULDREADdatabasegenomics
(0)
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2Comprehensive molecular, genomic and phenotypic analysis of a major clone of Enterococcus faecalis MLST ST40
M. Zischka, C. Künne, J. Blom, D. Wobser, T. Sakιnç, K. Schmidt-Hohagen, P. Dabrowski, A. Nitsche, J. Hübner, T. Hain and 22 other author(s). BMC Genomics, 16 (1): 175 (March 2015)
8 years ago by @l3s
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Enterococcus
analysis
faecilis
genomics
Enterococcusanalysisfaecilisgenomics
(0)
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1The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification
K. Robbins, W. Zhang, J. Bertrand, and R. Rekaya. Mathematical Medicine and Biology, 24 (4): 413-426 (2007)
8 years ago by @uga.abgg
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2007
genomics
methodology
2007genomicsmethodology
(0)
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2Effects of misdiagnosis in input data on the identification of differential expression genes in incipient Alzheimer patients
S. Joseph, K. Robbins, W. Zhang, and R. Rekaya. In Silico Biology, (2008)
8 years ago by @uga.abgg
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2008
genomics
2008genomics
(0)
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1Technical note: Computing strategies in genome-wide selection
A. Legarra, and I. Misztal. Journal of Dairy Science, 91 (1): 360 - 366 (2008)
8 years ago by @uga.abgg
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2008
computation
genomics
methodology
2008computationgenomicsmethodology
(0)
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1Technical note: Computing options for genetic evaluation with a large number of genetic markers
S. Tsuruta, and I. Misztal. Journal of Animal Science, 86 (7): 1514--1518 (March 2008)
8 years ago by @uga.abgg
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2008
genomics
methodology
simulation
2008genomicsmethodologysimulation
(0)
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1Different methods of selecting animals for genotyping to maximize the amount of genetic information known in the population
M. Spangler, R. Sapp, J. Bertrand, M. MacNeil, and R. Rekaya. Journal of Animal Science, 86 (10): 2471--2479 (October 2008)
8 years ago by @uga.abgg
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2008
genomics
methodology
2008genomicsmethodology
(0)
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1A comprehensive analysis of gene expression evolution between humans and mice
Y. Wang, and R. Rekaya. Evolutionary Bioinformatics, (2009)
8 years ago by @uga.abgg
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2009
genomics
methodology
2009genomicsmethodology
(0)
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1Ant colony optimization as a method for strategic genotype sampling
M. Spangler, K. Robbins, J. Bertrand, M. MacNeil, and R. Rekaya. Animal Genetics, 40 (3): 308--314 (2009)
8 years ago by @uga.abgg
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2009
genomics
methodology
2009genomicsmethodology
(0)
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1A relationship matrix including full pedigree and genomic information
A. Legarra, I. Aguilar, and I. Misztal. Journal of Dairy Science, 92 (9): 4656 - 4663 (2009)
8 years ago by @uga.abgg
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2009
computation
genomics
methodology
2009computationgenomicsmethodology
(0)
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1Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information
I. Misztal, A. Legarra, and I. Aguilar. Journal of Dairy Science, 92 (9): 4648 - 4655 (2009)
8 years ago by @uga.abgg
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2009
genomics
methodology
software
2009genomicsmethodologysoftware
(0)
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1LSOSS: Detection of cancer outlier differential gene expression
Y. Wang, and R. Rekaya. Biomarker Insights, (2010)
8 years ago by @uga.abgg
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2010
genomics
methodology
2010genomicsmethodology
(0)
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1Omega-6 Fat Supplementation Alters Lipogenic Gene Expression in Bovine Subcutaneous Adipose Tissue
S. Joseph, S. Pratt, E. Pavan, R. Rekaya, and S. Duckett. GRSB, (October 2010)
8 years ago by @uga.abgg
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2010
genomics
2010genomics
(0)
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1Comparison of Two Output-Coding Strategies for Multi-Class Tumor Classification Using Gene Expression Data and Latent Variable Model as Binary Classifier
S. Joseph, K. Robbins, W. Zhang, and R. Rekaya. Cancer Informatics, (2010)
8 years ago by @uga.abgg
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2010
genomics
methodology
2010genomicsmethodology
(0)
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1Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score
I. Aguilar, I. Misztal, D. Johnson, A. Legarra, S. Tsuruta, and T. Lawlor. Journal of Dairy Science, 93 (2): 743 - 752 (2010)
8 years ago by @uga.abgg
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2010
computation
dairy_cattle
genomics
methodology
2010computationdairy_cattlegenomicsmethodology
(0)
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1AntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm
Y. Wang, X. Liu, K. Robbins, and R. Rekaya. BMC Research Notes, 3 (1): 117 (2010)
8 years ago by @uga.abgg
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2010
genomics
methodology
software
2010genomicsmethodologysoftware
(0)
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1A jackknife-like method for classification and uncertainty assessment of multi-category tumor samples using gene expression information
W. Zhang, K. Robbins, Y. Wang, K. Bertrand, and R. Rekaya. BMC Genomics, 11 (1): 273 (2010)
8 years ago by @uga.abgg
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2010
genomics
methodology
2010genomicsmethodology
(0)
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1Gene expression in hypothalamus, liver, and adipose tissues and food intake response to melanocortin-4 receptor agonist in pigs expressing melanocortin-4 receptor mutations
C. Barb, G. Hausman, R. Rekaya, C. Lents, S. Lkhagvadorj, L. Qu, W. Cai, O. Couture, L. Anderson, J. Dekkers and 1 other author(s). Physiological Genomics, 41 (3): 254--268 (2010)
8 years ago by @uga.abgg
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2010
genomics
pigs
2010genomicspigs
(0)
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1Comparison of Computational Models for Assessing Conservation of Gene Expression across Species
Y. Wang, K. Robbins, and R. Rekaya. PLoS ONE, 5 (10): e13239 (October 2010)
8 years ago by @uga.abgg
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2010
computation
genomics
2010computationgenomics
(0)
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1Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: An example using broiler chickens
C. Chen, I. Misztal, I. Aguilar, S. Tsuruta, T. Meuwissen, S. Aggrey, T. Wing, and W. Muir. Journal of Animal Science, 89 (1): 23--28 (October 2011)
8 years ago by @uga.abgg
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2011
chicken
genomics
2011chickengenomics
(0)
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1Ant colony algorithm for analysis of gene interaction in high-dimensional association data
R. Rekaya, and K. Robbins. Revista Brasileira de Zootecnia, (July 2009)
8 years ago by @uga.abgg
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2009
genomics
methodology
2009genomicsmethodology
(0)
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1Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information
S. Forni, I. Aguilar, and I. Misztal. Genetics Selection Evolution, 43 (1): 1 (2011)
8 years ago by @uga.abgg
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2011
genomics
methodology
2011genomicsmethodology
(0)
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2Qxpak.5: Old mixed model solutions for new genomics problems
M. Perez-Enciso, and I. Misztal. BMC Bioinformatics, 12 (1): 202 (2011)
8 years ago by @uga.abgg
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2011
genomics
software
2011genomicssoftware
(0)
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1Multiple trait genomic evaluation of conception rate in Holsteins
I. Aguilar, I. Misztal, S. Tsuruta, G. Wiggans, and T. Lawlor. Journal of Dairy Science, 94 (5): 2621 - 2624 (2011)
8 years ago by @uga.abgg
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2011
dairy_cattle
genomics
2011dairy_cattlegenomics
(0)
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1Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in \US\ Holsteins
S. Tsuruta, I. Misztal, I. Aguilar, and T. Lawlor. Journal of Dairy Science, 94 (8): 4198 - 4204 (2011)
8 years ago by @uga.abgg
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2011
dairy_cattle
genomics
2011dairy_cattlegenomics
(0)
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1Effect of different genomic relationship matrices on accuracy and scale
C. Chen, I. Misztal, I. Aguilar, A. Legarra, and W. Muir. Journal of Animal Science, 89 (9): 2673--2679 (March 2011)
8 years ago by @uga.abgg
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2011
chicken
genomics
methodology
2011chickengenomicsmethodology
(0)
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1Bias in genomic predictions for populations under selection
Z. VITEZICA, I. AGUILAR, I. MISZTAL, and A. LEGARRA. Genetics Research, 93 (05): 357--366 (October 2011)
8 years ago by @uga.abgg
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2011
genomics
methodology
2011genomicsmethodology
(0)
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1Evaluation of the utility of diagonal elements of the genomic relationship matrix as a diagnostic tool to detect mislabelled genotyped animals in a broiler chicken population
R. Simeone, I. Misztal, I. Aguilar, and A. Legarra. Journal of Animal Breeding and Genetics, 128 (5): 386--393 (2011)
8 years ago by @uga.abgg
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2011
chicken
genomics
2011chickengenomics
(0)
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1Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation
I. Aguilar, I. Misztal, A. Legarra, and S. Tsuruta. Journal od Animal Breeding and Genetics, 128 (6): 422-428 (2011)
8 years ago by @uga.abgg
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2011
computation
genomics
software
2011computationgenomicssoftware
(0)
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2SNPxGE2: a database for human SNP–coexpression associations
Y. Wang, S. Joseph, X. Liu, M. Kelley, and R. Rekaya. Bioinformatics, 28 (3): 403-410 (2012)
8 years ago by @uga.abgg
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2012
genomics
software
2012genomicssoftware
(0)
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1Sample size determination for classifiers based on single-nucleotide polymorphisms
X. Liu, Y. Wang, R. Rekaya, and T. Sriram. Biostatistics, 13 (2): 217-227 (2012)
8 years ago by @uga.abgg
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2012
genomics
methodology
2012genomicsmethodology
(0)
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1A multi-compartment model for genomic selection in multi-breed populations
E. Hay, and R. Rekaya. Livestock Science, (2015)
8 years ago by @uga.abgg
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2015
genomics
methodology
2015genomicsmethodology
(0)
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1A structural model for genetic similarity in genomic selection of admixed populations
E. Hay, and R. Rekaya. Livestock Science, (2015)
8 years ago by @uga.abgg
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2015
genomics
methodology
2015genomicsmethodology
(0)
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1A recursive algorithm for decomposition and creation of the inverse of the genomic relationship matrix
P. Faux, N. Gengler, and I. Misztal. Journal of Dairy Science, 95 (10): 6093 - 6102 (2012)
8 years ago by @uga.abgg
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2012
genomics
methodology
2012genomicsmethodology
(0)
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1Genomic-polygenic evaluation of Angus-Brahman multibreed cattle for feed efficiency and postweaning growth using the Illumina 3K chip
M. Elzo, G. Lamb, D. Johnson, M. Thomas, I. Misztal, D. Rae, C. Martinez, J. Wasdin, and J. Driver. Journal of Animal Science, 90 (8): 2488--2497 (July 2012)
8 years ago by @uga.abgg
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2012
beef_cattle
genomics
multibreed
2012beef_cattlegenomicsmultibreed
(0)
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1Genome-wide association mapping including phenotypes from relatives without genotypes
H. WANG, I. MISZTAL, I. AGUILAR, A. LEGARRA, and W. MUIR. Genetics Research, 94 (02): 73--83 (April 2012)
8 years ago by @uga.abgg
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2012
GWAS
genomics
simulation
2012GWASgenomicssimulation
(0)
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1Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure
R. Simeone, I. Misztal, I. Aguilar, and Z. Vitezica. Journal of Animal Breeding and Genetics, 129 (1): 3--10 (2012)
8 years ago by @uga.abgg
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2012
chicken
genomics
2012chickengenomics
(0)
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1Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models
D. Lourenco, I. Misztal, H. Wang, I. Aguilar, S. Tsuruta, and J. Bertrand. Journal of Animal Science, 91 (9): 4090--4098 (July 2013)
8 years ago by @uga.abgg
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2013
beef_cattle
genomics
simulation
2013beef_cattlegenomicssimulation
(0)
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1Genomic-polygenic evaluation for ultrasound and weight traits in Angus–Brahman multibreed cattle with the Illumina3k chip
M. Elzo, C. Martinez, G. Lamb, D. Johnson, M. Thomas, I. Misztal, D. Rae, J. Wasdin, and J. Driver. Livestock Science, 153 (1–3): 39 - 49 (2013)
8 years ago by @uga.abgg
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2013
beef_cattle
genomics
multibreed
2013beef_cattlegenomicsmultibreed
(0)
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1Short communication: Genomic evaluations of final score for \US\ Holsteins benefit from the inclusion of genotypes on cows
S. Tsuruta, I. Misztal, and T. Lawlor. Journal of Dairy Science, 96 (5): 3332 - 3335 (2013)
8 years ago by @uga.abgg
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2013
dairy_cattle
genomics
2013dairy_cattlegenomics
(0)
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1Unknown-parent groups in single-step genomic evaluation
I. Misztal, Z. Vitezica, A. Legarra, I. Aguilar, and A. Swan. Journal of Animal Breeding and Genetics, 130 (4): 252--258 (2013)
8 years ago by @uga.abgg
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2013
genomics
methodology
2013genomicsmethodology
(0)
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1Experiences with a single-step genome evaluation
I. Misztal, S. Aggrey, and W. Muir. Poultry Science, 92 (9): 2530-2534 (2013)
8 years ago by @uga.abgg
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2013
chicken
genomics
review
2013chickengenomicsreview
(0)
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1Methods to approximate reliabilities in single-step genomic evaluation
I. Misztal, S. Tsuruta, I. Aguilar, A. Legarra, P. VanRaden, and T. Lawlor. Journal of Dairy Science, 96 (1): 647 - 654 (2013)
8 years ago by @uga.abgg
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2013
genomics
methodology
2013genomicsmethodology
(0)
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1Changes in variance explained by top SNP windows over generations for three traits in broiler chicken
B. de Oliveira Fragomeni, I. Misztal, D. Lourenco, I. Aguilar, R. Okimoto, and W. Muir. Front. Genet., (October 2014)
8 years ago by @uga.abgg
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2014
GWAS
chicken
genomics
2014GWASchickengenomics
(0)
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1Differences between genomic-based and pedigree-based relationships in a chicken population, as a function of quality control and pedigree links among individuals
H. Wang, I. Misztal, and A. Legarra. Journal of Animal Breeding and Genetics, 131 (6): 445--451 (2014)
8 years ago by @uga.abgg
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2014
chicken
genomics
2014chickengenomics
(0)
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1Single Step, a general approach for genomic selection
A. Legarra, O. Christensen, I. Aguilar, and I. Misztal. Livestock Science, (2014)Genomics Applied to Livestock Production.
8 years ago by @uga.abgg
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2014
genomics
methodology
review
2014genomicsmethodologyreview
(0)
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1Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens
H. Wang, I. Misztal, I. Aguilar, A. Legarra, R. Fernando, Z. Vitezica, R. Okimoto, T. Wing, R. Hawken, and W. Muir. Front. Genet., (May 2014)
8 years ago by @uga.abgg
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2014
GWAS
chicken
genomics
2014GWASchickengenomics
(0)
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1Assigning unknown parent groups to reduce bias in genomic evaluations of final score in \US\ Holsteins
S. Tsuruta, I. Misztal, D. Lourenco, and T. Lawlor. Journal of Dairy Science, 97 (9): 5814 - 5821 (2014)
8 years ago by @uga.abgg
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2014
dairy_cattle
genomics
2014dairy_cattlegenomics
(0)
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1Are evaluations on young genotyped animals benefiting from the past generations?
D. Lourenco, I. Misztal, S. Tsuruta, I. Aguilar, T. Lawlor, S. Forni, and J. Weller. Journal of Dairy Science, 97 (6): 3930 - 3942 (2014)
8 years ago by @uga.abgg
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2014
dairy_cattle
genomics
2014dairy_cattlegenomics
(0)
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1Using recursion to compute the inverse of the genomic relationship matrix
I. Misztal, A. Legarra, and I. Aguilar. Journal of Dairy Science, 97 (6): 3943 - 3952 (2014)
8 years ago by @uga.abgg
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2014
APY
genomics
methodology
2014APYgenomicsmethodology
(0)
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1Methods for genomic evaluation of a relatively small genotyped dairy population and effect of genotyped cow information in multiparity analyses
D. Lourenco, I. Misztal, S. Tsuruta, I. Aguilar, E. Ezra, M. Ron, A. Shirak, and J. Weller. Journal of Dairy Science, 97 (3): 1742 - 1752 (2014)
8 years ago by @uga.abgg
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2014
dairy_cattle
genomics
2014dairy_cattlegenomics
(0)
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1Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements
Y. Masuda, I. Aguilar, S. Tsuruta, and I. Misztal. Journal of Animal Science, 93 (10): 4670 (2015)
8 years ago by @uga.abgg
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2015
computation
genomics
methodology
2015computationgenomicsmethodology
(0)
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1Accuracy of estimated breeding values with genomic information on males, females, or both: an example on broiler chicken
D. Lourenco, B. Fragomeni, S. Tsuruta, I. Aguilar, B. Zumbach, R. Hawken, A. Legarra, and I. Misztal. Genetics Selection Evolution, (July 2015)
8 years ago by @uga.abgg
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2015
chicken
genomics
2015chickengenomics
(0)
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1Genotype by environment interactions on culling rates and 305-day milk yield of Holstein cows in 3 \US\ regions
S. Tsuruta, D. Lourenco, I. Misztal, and T. Lawlor. Journal of Dairy Science, 98 (8): 5796 - 5805 (2015)
8 years ago by @uga.abgg
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2015
GxE
dairy_cattle
genomics
2015GxEdairy_cattlegenomics
(0)
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1Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus
D. Lourenco, S. Tsuruta, B. Fragomeni, Y. Masuda, I. Aguilar, A. Legarra, J. Bertrand, T. Amen, L. Wang, D. Moser and 1 other author(s). Journal of Animal Science, 93 (6): 2653 (2015)
8 years ago by @uga.abgg
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2015
APY
beef_cattle
genomics
2015APYbeef_cattlegenomics
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1Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships
A. Legarra, O. Christensen, Z. Vitezica, I. Aguilar, and I. Misztal. Genetics, 200 (2): 455--468 (April 2015)
8 years ago by @uga.abgg
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2015
genomics
metafounders
methodology
2015genomicsmetafoundersmethodology
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1Use of genomic recursions and algorithm for proven and young animals for single-step genomic BLUP analyses – a simulation study
B. Fragomeni, D. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, and I. Misztal. Journal of Animal Breeding and Genetics, 132 (5): 340--345 (2015)
8 years ago by @uga.abgg
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2015
APY
genomics
simulation
2015APYgenomicssimulation
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1Hot topic: Use of genomic recursions in single-step genomic best linear unbiased predictor (BLUP) with a large number of genotypes
B. Fragomeni, D. Lourenco, S. Tsuruta, Y. Masuda, I. Aguilar, A. Legarra, T. Lawlor, and I. Misztal. Journal of Dairy Science, 98 (6): 4090 - 4094 (2015)
8 years ago by @uga.abgg
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2015
APY
dairy_cattle
genomics
2015APYdairy_cattlegenomics
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1Quality Control of Genotypes Using Heritability Estimates of Gene Content at the Marker
N. Forneris, A. Legarra, Z. Vitezica, S. Tsuruta, I. Aguilar, I. Misztal, and R. Cantet. Genetics, 199 (3): 675--681 (January 2015)
8 years ago by @uga.abgg
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2015
genomics
methodology
2015genomicsmethodology
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1Prior genetic architecture impacting genomic regions under selection: An example using genomic selection in two poultry breeds
X. Zhang, I. Misztal, M. Heidaritabar, J. Bastiaansen, R. Borg, R. Okimoto, R. Sapp, T. Wing, R. Hawken, D. Lourenco and 3 other author(s). Livestock Science, (2015)
8 years ago by @uga.abgg
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2015
chicken
genomics
2015chickengenomics
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1Genomic BLUP including additive and dominant variation in purebreds and F1 crossbreds, with an application in pigs
Z. Vitezica, L. Varona, J. Elsen, I. Misztal, W. Herring, and A. Legarra. Genetics Selection Evolution, (January 2016)
8 years ago by @uga.abgg
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2016
crossbreeding
genomics
pigs
2016crossbreedinggenomicspigs
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1Crossbreed evaluations in single-step genomic best linear unbiased predictor using adjusted realized relationship matrices
D. Lourenco, S. Tsuruta, B. Fragomeni, C. Chen, W. Herring, and I. Misztal. Journal of Animal Science, 94 (3): 909 (2016)
8 years ago by @uga.abgg
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2016
beef_cattle
crossbreeding
genomics
2016beef_cattlecrossbreedinggenomics
(0)
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1Implementation of genomic recursions in single-step genomic best linear unbiased predictor for \US\ Holsteins with a large number of genotyped animals
Y. Masuda, I. Misztal, S. Tsuruta, A. Legarra, I. Aguilar, D. Lourenco, B. Fragomeni, and T. Lawlor. Journal of Dairy Science, 99 (3): 1968 - 1974 (2016)
8 years ago by @uga.abgg
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2016
APY
computation
dairy_cattle
genomics
2016APYcomputationdairy_cattlegenomics
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1Inexpensive Computation of the Inverse of the Genomic Relationship Matrix in Populations with Small Effective Population Size
I. Misztal. Genetics, 202 (2): 401--409 (November 2016)
8 years ago by @uga.abgg
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2016
APY
genomics
methodology
2016APYgenomicsmethodology
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1The Dimensionality of Genomic Information and Its Effect on Genomic Prediction
I. Pocrnic, D. Lourenco, Y. Masuda, A. Legarra, and I. Misztal. Genetics, 203 (1): 573--581 (March 2016)
8 years ago by @uga.abgg
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2016
genomics
methodology
simulation
2016genomicsmethodologysimulation
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1CREBBP mutations in relapsed acute lymphoblastic leukaemia
C. Mullighan, J. Zhang, L. Kasper, S. Lerach, D. Payne-Turner, L. Phillips, S. Heatley, L. Holmfeldt, J. Collins-Underwood, J. Ma and 5 other author(s). Nature, 471 (7337): 235--239 (March 2011)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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1Inactivating mutations of acetyltransferase genes in B-cell lymphoma
L. Pasqualucci, D. Dominguez-Sola, A. Chiarenza, G. Fabbri, A. Grunn, V. Trifonov, L. Kasper, S. Lerach, H. Tang, J. Ma and 8 other author(s). Nature, 471 (7337): 189--195 (March 2011)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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1The genomic complexity of primary human prostate cancer
M. Berger, M. Lawrence, F. Demichelis, Y. Drier, K. Cibulskis, A. Sivachenko, A. Sboner, R. Esgueva, D. Pflueger, C. Sougnez and 31 other author(s). Nature, 470 (7333): 214--220 (February 2011)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
prostate
bioinformaticscancergenomicsnatureprostate
(0)
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1Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma
I. Varela, P. Tarpey, K. Raine, D. Huang, C. Ong, P. Stephens, H. Davies, D. Jones, M. Lin, J. Teague and 34 other author(s). Nature, 469 (7331): 539--542 (January 2011)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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1Integrative genomics identifies LMO1 as a neuroblastoma oncogene
K. Wang, S. Diskin, H. Zhang, E. Attiyeh, C. Winter, C. Hou, R. Schnepp, M. Diamond, K. Bosse, P. Mayes and 23 other author(s). Nature, 469 (7329): 216--220 (December 2010)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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1Distant metastasis occurs late during the genetic evolution of pancreatic cancer
S. Yachida, S. Jones, I. Bozic, T. Antal, R. Leary, B. Fu, M. Kamiyama, R. Hruban, J. Eshleman, M. Nowak and 4 other author(s). Nature, 467 (7319): 1114--1117 (October 2010)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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1The patterns and dynamics of genomic instability in metastatic pancreatic cancer
P. Campbell, S. Yachida, L. Mudie, P. Stephens, E. Pleasance, L. Stebbings, L. Morsberger, C. Latimer, S. McLaren, M. Lin and 15 other author(s). Nature, 467 (7319): 1109--1113 (October 2010)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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1Diverse somatic mutation patterns and pathway alterations in human cancers
Z. Kan, B. Jaiswal, J. Stinson, V. Janakiraman, D. Bhatt, H. Stern, P. Yue, P. Haverty, R. Bourgon, J. Zheng and 22 other author(s). Nature, 466 (7308): 869--873 (July 2010)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
bioinformaticscancergenomics
(0)
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1The mutation spectrum revealed by paired genome sequences from a lung cancer patient
W. Lee, Z. Jiang, J. Liu, P. Haverty, Y. Guan, J. Stinson, P. Yue, Y. Zhang, K. Pant, D. Bhatt and 17 other author(s). Nature, 465 (7297): 473--477 (May 2010)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
bioinformaticscancergenomics
(0)
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1Genome remodelling in a basal-like breast cancer metastasis and xenograft
L. Ding, M. Ellis, S. Li, D. Larson, K. Chen, J. Wallis, C. Harris, M. McLellan, R. Fulton, L. Fulton and 59 other author(s). Nature, 464 (7291): 999--1005 (April 2010)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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1Initial genome sequencing and analysis of multiple myeloma
M. Chapman, M. Lawrence, J. Keats, K. Cibulskis, C. Sougnez, A. Schinzel, C. Harview, J. Brunet, G. Ahmann, M. Adli and 40 other author(s). Nature, 471 (7339): 467--472 (March 2011)
8 years ago by @ytyoun
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bioinformatics
cancer
genomics
nature
bioinformaticscancergenomicsnature
(0)
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2Comprehensive molecular, genomic and phenotypic analysis of a major clone of Enterococcus faecalis MLST ST40
M. Zischka, C. Künne, J. Blom, D. Wobser, T. Sakιnç, K. Schmidt-Hohagen, P. Dabrowski, A. Nitsche, J. Hübner, T. Hain and 22 other author(s). BMC Genomics, 16 (1): 175 (March 2015)
8 years ago by @brenda_bs
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Enterococcus
analysis
faecilis
genomics
Enterococcusanalysisfaecilisgenomics
(0)
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2Orion: Scaling Genomic Sequence Matching with Fine-Grained Parallelization
K. Mahadik, S. Chaterji, B. Zhou, M. Kulkarni, and S. Bagchi. High Performance Computing, Networking, Storage and Analysis, SC14: International Conference for, page 449--460. (November 2014)
9 years ago by @ytyoun
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genomics
super.computing
genomicssuper.computing
(0)
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1PyClone: statistical inference of clonal population structure in cancer
A. Roth, J. Khattra, D. Yap, A. Wan, E. Laks, J. Biele, G. Ha, S. Aparicio, A. Bouchard-Cote, and S. Shah. Nat Meth, 11 (4): 396--398 (April 2014)
9 years ago by @gwotto
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cancer
genomics
cancergenomics
(0)
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1High-Throughput Screening of a Corynebacterium glutamicum Mutant Library on Genomic and Metabolic Level
L. Reimer, J. Spura, K. Schmidt-Hohagen, and D. Schomburg. PLoS ONE, (2014)
10 years ago by @brenda_bs
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genomics
metabolomics
myown
screening
genomicsmetabolomicsmyownscreening
(0)
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1GeneChip analyses point to novel pathogenetic mechanisms in mantle cell lymphoma
I. Vater, F. Wagner, M. Kreuz, H. Berger, J. Martín-Subero, C. Pott, J. Martinez-Climent, W. Klapper, K. Krause, Dyer, Martin J S and 7 other author(s). British journal of haematology, 144 (3): 317–331 (2009)
10 years ago by @drtester
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Cell_Line,_Tumor
Chromosome_Aberrations
Chromosomes,_Human,_Pair_11
Chromosomes,_Human,_Pair_14
Gene_Amplification
Gene_Deletion
Gene_Expression_Profiling/methods
Genomics
Humans
In_Situ_Hybridization,_Fluorescence
Loss_of_Heterozygosity
Lymphoma,_Mantle-Cell/genetics
Microtubule-Associated_Proteins/genetics
Oligonucleotide_Array_Sequence_Analysis
Translocation,_Genetic
Uniparental_Disomy
Cell_Line,_TumorChromosome_AberrationsChromosomes,_Human,_Pair_11Chromosomes,_Human,_Pair_14Gene_AmplificationGene_DeletionGene_Expression_Profiling/methodsGenomicsHumansIn_Situ_Hybridization,_FluorescenceLoss_of_HeterozygosityLymphoma,_Mantle-Cell/geneticsMicrotubule-Associated_Proteins/geneticsOligonucleotide_Array_Sequence_AnalysisTranslocation,_GeneticUniparental_Disomy
(0)
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1Comparative analysis of RNA sequencing methods for degraded or low-input samples.
X. Adiconis, D. Borges-Rivera, R. Satija, D. DeLuca, M. Busby, A. Berlin, A. Sivachenko, D. Thompson, A. Wysoker, T. Fennell and 4 other author(s). Nat Methods, 10 (7): 623--629 (July 2013)
10 years ago by @gwotto
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genomics
rna-seq
genomicsrna-seq
(0)
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1Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin.
K. Hoadley, C. Yau, D. Wolf, A. Cherniack, D. Tamborero, S. Ng, M. Leiserson, B. Niu, M. McLellan, V. Uzunangelov and 23 other author(s). Cell, (August 2014)
10 years ago by @gwotto
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cancer
genomics
cancergenomics
(0)
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1Bridging the Gap between the Cloud and an eScience Application Platform
Y. Simmhan, C. van Ingen, G. Subramanian, and J. Li. MSR-TR-2009-2021. Microsoft Research, (November 2009)
10 years ago by @simmhan
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cloud,
escience,
generic
genomics
msr,
worker,
workflow,
cloud,escience,genericgenomicsmsr,worker,workflow,
(0)
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1Clonal evolution of preleukemic hematopoietic stem cells precedes human acute myeloid leukemia.
M. Jan, T. Snyder, M. Corces-Zimmerman, P. Vyas, I. Weissman, S. Quake, and R. Majeti. Sci Transl Med, 4 (149): 149ra118 (August 2012)
10 years ago by @gwotto
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cancer
genomics
mutation
cancergenomicsmutation
(0)
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1Identification of pre-leukaemic haematopoietic stem cells in acute leukaemia.
L. Shlush, S. Zandi, A. Mitchell, W. Chen, J. Brandwein, V. Gupta, J. Kennedy, A. Schimmer, A. Schuh, K. Yee and 16 other author(s). Nature, 506 (7488): 328--333 (February 2014)
10 years ago by @gwotto
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cancer
genomics
mutation
cancergenomicsmutation
(0)
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1Bayesian approach to single-cell differential expression analysis.
P. Kharchenko, L. Silberstein, and D. Scadden. Nat Methods, (May 2014)
10 years ago by @gwotto
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RNA-seq
genomics
single-cell
RNA-seqgenomicssingle-cell
(0)
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3Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples.
K. Cibulskis, M. Lawrence, S. Carter, A. Sivachenko, D. Jaffe, C. Sougnez, S. Gabriel, M. Meyerson, E. Lander, and G. Getz. Nat Biotechnol, 31 (3): 213--219 (2013)
10 years ago by @gwotto
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cancer
genomics
mutation
cancergenomicsmutation
(0)
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