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A Brief Review of Software Tools for Pangenomics
Since the proposal for pangenomic study, there have been a dozen software tools actively in use for pangenomic analysis. By the end of 2014, Panseq and the pan-genomes analysis pipeline(PGAP) ranked as the top two most popular packages according to cumulative citations of peerreviewed scientific pub...
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Published in: | Genomics, proteomics & bioinformatics proteomics & bioinformatics, 2015-02, Vol.13 (1), p.73-76 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Since the proposal for pangenomic study, there have been a dozen software tools actively in use for pangenomic analysis. By the end of 2014, Panseq and the pan-genomes analysis pipeline(PGAP) ranked as the top two most popular packages according to cumulative citations of peerreviewed scientific publications. The functions of the software packages and tools, albeit variable among them, include categorizing orthologous genes, calculating pangenomic profiles, integrating gene annotations, and constructing phylogenies. As epigenomic elements are being gradually revealed in prokaryotes, it is expected that pangenomic databases and toolkits have to be extended to handle information of detailed functional annotations for genes and non-protein-coding sequences including non-coding RNAs, insertion elements, and conserved structural elements. To develop better bioinformatic tools, user feedback and integration of novel features are both of essence. |
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ISSN: | 1672-0229 2210-3244 |
DOI: | 10.1016/j.gpb.2015.01.007 |