深度研究丨高通量DNA测序数据的生物信息学方法

[44] FRIGAARD N U, MARTIMEZ A, MINCER T J, et al. Proteorhodopsin lateral gene transfer between marine planktonic bacteria and archaea[J]. Nature, 2006, 439(7078): 847-850.

[45] OUYANG Z, ZHU H, WANG J, et al. Multivariate entropy distance method for prokaryotic gene identification[J]. Journal of Bioinformatics and Computational Biology, 2004, 2(2): 353-373.

[46] ZHU H Q, HU G Q, YANG Y F, et al. MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes[J]. BMC Bioinformatics, 2007, 8(1): 97.

[47] NOGUCHI H, TANIGUCHI T, ITOH T. MetaGeneAnnotator: detecting species-specific patterns of ribosomal binding site for precise gene prediction in anonymous prokaryotic and phage genomes[J]. DNA Research, 2008, 15(6): 387-396.

[48] HOFF K J, LINGNER T, MEINICKE P, et al. Orphelia: predicting genes in metagenomic sequencing reads[J]. Nucleic Acids Research, 2009, 37(suppl 2): W101-W105.

[49] ZHU W, LOMSADZE A, BORODOVSKY M. Ab initio gene identification in metagenomic sequences[J]. Nucleic Acids Research, 2010, 38(12): e132.

[50] RHO M, TANG H, YE Y. FragGeneScan: predicting genes in short and error-prone reads[J]. Nucleic Acids Research, 2010, 38(20): e191.

[51] KELLEY D R, LIU B, DELCHER A L, et al. Gene prediction with Glimmer for metagenomic sequences augmented by classification and clustering[J]. Nucleic Acids Research, 2012, 40(1): e9.

[52] HYATT D, LOCASCIO P F, HAUSER L J, et al. Gene and translation initiation site prediction in metagenomic sequences[J]. Bioinformatics, 2012, 28(17): 2223-2230.

[53] WANG Y, LEUNG H C M, YIU S M, et al. MetaCluster 5.0: a two-round binning approach for metagenomic data for low-abundance species in a noisy sample[J]. Bioinformatics, 2012, 28(18): i356-i362.

[54] LIU Y, GUO J, HU G, et al. Gene prediction in metagenomic fragments based on the SVM algorithm[J]. BMC Bioinformatics, 2013, 14(suppl 5): S12.

[55] DESANTIS T Z, HUGENHOLTZ P, LARSEN N, et al. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB[J]. Applied and Environmental Microbiology, 2006, 72(7): 5069-5072.

[56] PRUESSE E, QUAST C, KNITTEL K, et al. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB[J]. Nucleic Acids Research, 2007, 35(21): 7188-7196.