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Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models, , , , , , , , , and 5 other author(s). Molecular Systems Biology, 6 (1): 390+ (Jan 1, 2010)Leveraging Ontologies within the National Microbiome Data Collaborative., , , , , , , , , and 38 other author(s). ICBO, volume 3073 of CEUR Workshop Proceedings, page 141-143. CEUR-WS.org, (2021)DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra., , , , , , and . Bioinform., 24 (7): 1021-1023 (2008)Basophile: Accurate Fragment Charge State Prediction Improves Peptide Identification Rates., , , , , , , , , and 2 other author(s). Genom. Proteom. Bioinform., 11 (2): 86-95 (2013)Challenges in Bioinformatics Workflows for Processing Microbiome Omics Data at Scale., , , , , , , , , and 18 other author(s). Frontiers Bioinform., (2021)Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models, , , , , , , , , and 5 other author(s). Mol. Syst. Biol., (2010)Statistically appraising process quality of affinity isolation experiments., , , , , , and . Comput. Stat. Data Anal., 53 (5): 1720-1726 (2009)