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MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences
Summary: Frameshift (FS) prediction is important for analysis and biological interpretation of metagenomic sequences. Since a genomic context of a short metagenomic sequence is rarely known, there is not enough data available to estimate parameters of species-specific statistical models of protein-c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530910/ https://www.ncbi.nlm.nih.gov/pubmed/23129300 http://dx.doi.org/10.1093/bioinformatics/bts636 |
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author | Tang, Shiyuyun Antonov, Ivan Borodovsky, Mark |
author_facet | Tang, Shiyuyun Antonov, Ivan Borodovsky, Mark |
author_sort | Tang, Shiyuyun |
collection | PubMed |
description | Summary: Frameshift (FS) prediction is important for analysis and biological interpretation of metagenomic sequences. Since a genomic context of a short metagenomic sequence is rarely known, there is not enough data available to estimate parameters of species-specific statistical models of protein-coding and non-coding regions. The challenge of ab initio FS detection is, therefore, two fold: (i) to find a way to infer necessary model parameters and (ii) to identify positions of frameshifts (if any). Here we describe a new tool, MetaGeneTack, which uses a heuristic method to estimate parameters of sequence models used in the FS detection algorithm. It is shown on multiple test sets that the MetaGeneTack FS detection performance is comparable or better than the one of earlier developed program FragGeneScan. Availability and implementation: MetaGeneTack is available as a web server at http://exon.gatech.edu/GeneTack/cgi/metagenetack.cgi. Academic users can download a standalone version of the program from http://exon.gatech.edu/license_download.cgi. Contact: borodovsky@gatech.edu Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3530910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35309102012-12-27 MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences Tang, Shiyuyun Antonov, Ivan Borodovsky, Mark Bioinformatics Applications Note Summary: Frameshift (FS) prediction is important for analysis and biological interpretation of metagenomic sequences. Since a genomic context of a short metagenomic sequence is rarely known, there is not enough data available to estimate parameters of species-specific statistical models of protein-coding and non-coding regions. The challenge of ab initio FS detection is, therefore, two fold: (i) to find a way to infer necessary model parameters and (ii) to identify positions of frameshifts (if any). Here we describe a new tool, MetaGeneTack, which uses a heuristic method to estimate parameters of sequence models used in the FS detection algorithm. It is shown on multiple test sets that the MetaGeneTack FS detection performance is comparable or better than the one of earlier developed program FragGeneScan. Availability and implementation: MetaGeneTack is available as a web server at http://exon.gatech.edu/GeneTack/cgi/metagenetack.cgi. Academic users can download a standalone version of the program from http://exon.gatech.edu/license_download.cgi. Contact: borodovsky@gatech.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2013-01 2012-11-04 /pmc/articles/PMC3530910/ /pubmed/23129300 http://dx.doi.org/10.1093/bioinformatics/bts636 Text en © The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Tang, Shiyuyun Antonov, Ivan Borodovsky, Mark MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences |
title | MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences |
title_full | MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences |
title_fullStr | MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences |
title_full_unstemmed | MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences |
title_short | MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences |
title_sort | metagenetack: ab initio detection of frameshifts in metagenomic sequences |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530910/ https://www.ncbi.nlm.nih.gov/pubmed/23129300 http://dx.doi.org/10.1093/bioinformatics/bts636 |
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