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Efficient in silico Chromosomal Representation of Populations via Indexing Ancestral Genomes.

, , , , , and . Algorithms, 6 (3): 430-441 (2013)

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Efficient in silico Chromosomal Representation of Populations via Indexing Ancestral Genomes., , , , , and . Algorithms, 6 (3): 430-441 (2013)Host Phenotype Prediction from Differentially Abundant Microbes Using RoDEO., , and . CIBB, volume 10477 of Lecture Notes in Computer Science, page 27-41. Springer, (2016)Best-Fit in Linear Time for Non-generative Population Simulation - (Extended Abstract)., , and . WABI, volume 8701 of Lecture Notes in Computer Science, page 247-262. Springer, (2014)Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data., , , , , , , , , and . CoRR, (2020)Scalable Algorithms at Genomic Resolution to fit LD Distributions., and . BCB, page 271-278. ACM, (2016)Haplotype assembly of autotetraploid potato using integer linear programing., , , , and . Bioinform., 35 (18): 3279-3286 (2019)Design of the MCAW compute service for food safety bioinformatics., , , , , , , and . IBM J. Res. Dev., 60 (5/6): 2:1-2:12 (2016)Host Trait Prediction of Metagenomic Data for Topology-Based Visualization., , , and . ICDCIT, volume 8956 of Lecture Notes in Computer Science, page 134-149. Springer, (2015)A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data., , , , and . AlCoB, volume 12099 of Lecture Notes in Computer Science, page 178-187. Springer, (2020)Due to COVID-19 postponed to AlCoB 2021..Linear Time Algorithms to Construct Populations Fitting Multiple Constraint Distributions at Genomic Scales., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (4): 1132-1142 (2019)