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BamView: viewing mapped read alignment data in the context of the reference sequence
Summary: BamView is an interactive Java application for visualizing the large amounts of data stored for sequence reads which are aligned against a reference genome sequence. It supports the BAM (Binary Alignment/Map) format. It can be used in a number of contexts including SNP calling and structura...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828118/ https://www.ncbi.nlm.nih.gov/pubmed/20071372 http://dx.doi.org/10.1093/bioinformatics/btq010 |
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author | Carver, Tim Böhme, Ulrike Otto, Thomas D. Parkhill, Julian Berriman, Matthew |
author_facet | Carver, Tim Böhme, Ulrike Otto, Thomas D. Parkhill, Julian Berriman, Matthew |
author_sort | Carver, Tim |
collection | PubMed |
description | Summary: BamView is an interactive Java application for visualizing the large amounts of data stored for sequence reads which are aligned against a reference genome sequence. It supports the BAM (Binary Alignment/Map) format. It can be used in a number of contexts including SNP calling and structural annotation. BamView has also been integrated into Artemis so that the reads can be viewed in the context of the nucleotide sequence and genomic features. Availability: BamView and Artemis are freely available (under a GPL licence) for download (for MacOSX, UNIX and Windows) at: http://bamview.sourceforge.net/ Contact: artemis@sanger.ac.uk |
format | Text |
id | pubmed-2828118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28281182010-02-25 BamView: viewing mapped read alignment data in the context of the reference sequence Carver, Tim Böhme, Ulrike Otto, Thomas D. Parkhill, Julian Berriman, Matthew Bioinformatics Applications Note Summary: BamView is an interactive Java application for visualizing the large amounts of data stored for sequence reads which are aligned against a reference genome sequence. It supports the BAM (Binary Alignment/Map) format. It can be used in a number of contexts including SNP calling and structural annotation. BamView has also been integrated into Artemis so that the reads can be viewed in the context of the nucleotide sequence and genomic features. Availability: BamView and Artemis are freely available (under a GPL licence) for download (for MacOSX, UNIX and Windows) at: http://bamview.sourceforge.net/ Contact: artemis@sanger.ac.uk Oxford University Press 2010-03-01 2010-01-12 /pmc/articles/PMC2828118/ /pubmed/20071372 http://dx.doi.org/10.1093/bioinformatics/btq010 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Carver, Tim Böhme, Ulrike Otto, Thomas D. Parkhill, Julian Berriman, Matthew BamView: viewing mapped read alignment data in the context of the reference sequence |
title | BamView: viewing mapped read alignment data in the context of the reference sequence |
title_full | BamView: viewing mapped read alignment data in the context of the reference sequence |
title_fullStr | BamView: viewing mapped read alignment data in the context of the reference sequence |
title_full_unstemmed | BamView: viewing mapped read alignment data in the context of the reference sequence |
title_short | BamView: viewing mapped read alignment data in the context of the reference sequence |
title_sort | bamview: viewing mapped read alignment data in the context of the reference sequence |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828118/ https://www.ncbi.nlm.nih.gov/pubmed/20071372 http://dx.doi.org/10.1093/bioinformatics/btq010 |
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