A novel substitution matrix fitted to the compositional bias in Mollicutes improves the prediction of homologous relationships - Lemaitre, Claire; Barré, Aurélien; Citti, Christine; Tardy, Florence; Thiaucourt, François; Sirand-Pugnet, Pascal; Thébault, Patricia (BMC bioinformatics, 2011)
Keywords: Algorithms; Amino acids; Bacterial Proteins - genetics; Biochemistry, Molecular Biology; Bioinformatics; Biomedical and Life Sciences; Comparative genomics; Comparative studies; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Computer Science; Evolutionary biology; Genetic aspects; Genomes; Genomics; Genomics - methods; Life Sciences; Microarrays; Mycoplasmatales; Physiological aspects; Probability; Proteins; Quantitative Methods; Research Article; Sequence Homology, Amino Acid; Software; Studies; Tenericutes - classification; Tenericutes - genetics; France; Domain Architecture; Pairwise Alignment; Core Genome; Substitution Matrix; Amino Acid Frequency; mollicutes; mathematical and computational biology; biochemistry and molecular biology; biotechnology and applied microbiology; orthologous predictions; substitution matrix