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Gene gain and gene loss in streptococcus: is it driven by habitat? Bacterial genomes can evolve either by gene gain, gene loss, mutating ... Marri PR, Hao W, Golding GB, http://dx.doi.org/10.1093/molbev/msl115
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Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure. MOTIVATION: Drawing inferences from large, heterogeneous sets of ... Lewis DP, Jebara T, Noble WS, http://dx.doi.org/10.1093/bioinformatics/btl475
Bioinformatics. 2006 Nov 15;22(22):2753-60. Epub 2006 Sep 11.
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Augur--a computational pipeline for whole genome microbial surface protein prediction and classification. The analysis of protein function is a challenge and a major bottleneck ... Billion A, Ghai R, Chakraborty T, Hain T, http://dx.doi.org/10.1093/bioinformatics/btl466
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A wake-up call: are degenerative diseases provoked by some of our normal food constituents? A case for nutrigenomics. Andersen MT, Sondergaard I, http://dx.doi.org/10.1016/j.mehy.2006.07.007
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Defective splicing of Megf7/Lrp4, a regulator of distal limb development, in autosomal recessive mulefoot disease. Mulefoot disease (MFD) is an autosomal recessive disorder of ... Johnson EB, Steffen DJ, Lynch KW, Herz J, http://dx.doi.org/10.1016/j.ygeno.2006.08.005
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