Cargando…
GeSeq – versatile and accurate annotation of organelle genomes
We have developed the web application GeSeq (https://chlorobox.mpimp-golm.mpg.de/geseq.html) for the rapid and accurate annotation of organellar genome sequences, in particular chloroplast genomes. In contrast to existing tools, GeSeq combines batch processing with a fully customizable reference seq...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570176/ https://www.ncbi.nlm.nih.gov/pubmed/28486635 http://dx.doi.org/10.1093/nar/gkx391 |
_version_ | 1783259132998975488 |
---|---|
author | Tillich, Michael Lehwark, Pascal Pellizzer, Tommaso Ulbricht-Jones, Elena S. Fischer, Axel Bock, Ralph Greiner, Stephan |
author_facet | Tillich, Michael Lehwark, Pascal Pellizzer, Tommaso Ulbricht-Jones, Elena S. Fischer, Axel Bock, Ralph Greiner, Stephan |
author_sort | Tillich, Michael |
collection | PubMed |
description | We have developed the web application GeSeq (https://chlorobox.mpimp-golm.mpg.de/geseq.html) for the rapid and accurate annotation of organellar genome sequences, in particular chloroplast genomes. In contrast to existing tools, GeSeq combines batch processing with a fully customizable reference sequence selection of organellar genome records from NCBI and/or references uploaded by the user. For the annotation of chloroplast genomes, the application additionally provides an integrated database of manually curated reference sequences. GeSeq identifies genes or other feature-encoding regions by BLAT-based homology searches and additionally, by profile HMM searches for protein and rRNA coding genes and two de novo predictors for tRNA genes. These unique features enable the user to conveniently compare the annotations of different state-of-the-art methods, thus supporting high-quality annotations. The main output of GeSeq is a GenBank file that usually requires only little curation and is instantly visualized by OGDRAW. GeSeq also offers a variety of optional additional outputs that facilitate downstream analyzes, for example comparative genomic or phylogenetic studies. |
format | Online Article Text |
id | pubmed-5570176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55701762017-08-29 GeSeq – versatile and accurate annotation of organelle genomes Tillich, Michael Lehwark, Pascal Pellizzer, Tommaso Ulbricht-Jones, Elena S. Fischer, Axel Bock, Ralph Greiner, Stephan Nucleic Acids Res Web Server Issue We have developed the web application GeSeq (https://chlorobox.mpimp-golm.mpg.de/geseq.html) for the rapid and accurate annotation of organellar genome sequences, in particular chloroplast genomes. In contrast to existing tools, GeSeq combines batch processing with a fully customizable reference sequence selection of organellar genome records from NCBI and/or references uploaded by the user. For the annotation of chloroplast genomes, the application additionally provides an integrated database of manually curated reference sequences. GeSeq identifies genes or other feature-encoding regions by BLAT-based homology searches and additionally, by profile HMM searches for protein and rRNA coding genes and two de novo predictors for tRNA genes. These unique features enable the user to conveniently compare the annotations of different state-of-the-art methods, thus supporting high-quality annotations. The main output of GeSeq is a GenBank file that usually requires only little curation and is instantly visualized by OGDRAW. GeSeq also offers a variety of optional additional outputs that facilitate downstream analyzes, for example comparative genomic or phylogenetic studies. Oxford University Press 2017-07-03 2017-05-09 /pmc/articles/PMC5570176/ /pubmed/28486635 http://dx.doi.org/10.1093/nar/gkx391 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Tillich, Michael Lehwark, Pascal Pellizzer, Tommaso Ulbricht-Jones, Elena S. Fischer, Axel Bock, Ralph Greiner, Stephan GeSeq – versatile and accurate annotation of organelle genomes |
title | GeSeq – versatile and accurate annotation of organelle genomes |
title_full | GeSeq – versatile and accurate annotation of organelle genomes |
title_fullStr | GeSeq – versatile and accurate annotation of organelle genomes |
title_full_unstemmed | GeSeq – versatile and accurate annotation of organelle genomes |
title_short | GeSeq – versatile and accurate annotation of organelle genomes |
title_sort | geseq – versatile and accurate annotation of organelle genomes |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570176/ https://www.ncbi.nlm.nih.gov/pubmed/28486635 http://dx.doi.org/10.1093/nar/gkx391 |
work_keys_str_mv | AT tillichmichael geseqversatileandaccurateannotationoforganellegenomes AT lehwarkpascal geseqversatileandaccurateannotationoforganellegenomes AT pellizzertommaso geseqversatileandaccurateannotationoforganellegenomes AT ulbrichtjoneselenas geseqversatileandaccurateannotationoforganellegenomes AT fischeraxel geseqversatileandaccurateannotationoforganellegenomes AT bockralph geseqversatileandaccurateannotationoforganellegenomes AT greinerstephan geseqversatileandaccurateannotationoforganellegenomes |