2004
DOI: 10.1093/bioinformatics/bti057
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PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis

Abstract: http://www.psort.org/psortb/supplementaryinfo.html.

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Cited by 671 publications
(568 citation statements)
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References 18 publications
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“…In terms of annotation, a microbial genome analysis group would provide the community with results from the following analyses: putative ORFs searched against GenBank based on a pairwise sequence comparison method such as BLAST; HMMER2 (http://hmmer.wustl.edu/) used to search ORFs against the current collection of Pfam profile HMMs to locate regions that belong to known domain families; TopPred (25) used to identify membrane-spanning domains; SignalP (26) used to detect the presence of signal peptides and their likely cleavage sites; PSORT (27) used to predict the cellular location of proteins; transporters analyzed based on the classification schemes in TC-DB (http://tcdb.ucsd.edu/tcdb/); families of paralogous genes in a given genome constructed by pairwise searching of ORFs against themselves using BLASTP (matches with E≥10 6 over 60% of the query search length would be identified and clustered into multigene families); multiple alignments of protein families generated with CLUSTAL W (28); phylogenetic trees of genes and proteins built using PHYLIP (http://evolution.genetics. washington.edu/phylip.html).…”
Section: Annotation and Data Depositionmentioning
confidence: 99%
“…In terms of annotation, a microbial genome analysis group would provide the community with results from the following analyses: putative ORFs searched against GenBank based on a pairwise sequence comparison method such as BLAST; HMMER2 (http://hmmer.wustl.edu/) used to search ORFs against the current collection of Pfam profile HMMs to locate regions that belong to known domain families; TopPred (25) used to identify membrane-spanning domains; SignalP (26) used to detect the presence of signal peptides and their likely cleavage sites; PSORT (27) used to predict the cellular location of proteins; transporters analyzed based on the classification schemes in TC-DB (http://tcdb.ucsd.edu/tcdb/); families of paralogous genes in a given genome constructed by pairwise searching of ORFs against themselves using BLASTP (matches with E≥10 6 over 60% of the query search length would be identified and clustered into multigene families); multiple alignments of protein families generated with CLUSTAL W (28); phylogenetic trees of genes and proteins built using PHYLIP (http://evolution.genetics. washington.edu/phylip.html).…”
Section: Annotation and Data Depositionmentioning
confidence: 99%
“…As the shorter read length of pyrosequencing data affected the detection of protein localization, a comparison of each 0.1 mm 454 data set with the corresponding Sanger data set was performed. Using the assumption that percentage localizations calculated using PSORT (Gardy et al, 2005) should be the same between the two data sets, a correction factor was computed and applied. Genome size was inferred with GAAS (Angly et al, 2009) and the average number of rRNA operons was estimated by dividing the number of 16S rRNA genes detected in each sample by the average number of proteins assigned to COGs of 32 single-copy genes (COG0012, COG0016, COG0048, COG0049, COG0052, COG0080, COG0081, COG0087, COG0088, COG0090, COG0091, COG0092, COG0093, COG0094, COG0096, COG0097, COG0098, COG0099, COG0100, COG0102, COG0103, COG0124, COG0184, COG0185, COG0186, COG0197, COG0200, COG0201, COG0256, COG0522, COG0533 and COG0541).…”
Section: Read-based Analysesmentioning
confidence: 99%
“…In silico analysis of the CC_2060 protein (PflI). Localization and general topology were determined based on the information from the pSORTb algorithm (17). The coiled-coil content was determined by the COILS program (29).…”
Section: Methodsmentioning
confidence: 99%