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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...

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Autores principales: Tillich, Michael, Lehwark, Pascal, Pellizzer, Tommaso, Ulbricht-Jones, Elena S., Fischer, Axel, Bock, Ralph, Greiner, Stephan
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
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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.
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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
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