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Tablet—next generation sequence assembly visualization
Summary: Tablet is a lightweight, high-performance graphical viewer for next-generation sequence assemblies and alignments. Supporting a range of input assembly formats, Tablet provides high-quality visualizations showing data in packed or stacked views, allowing instant access and navigation to any...
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/PMC2815658/ https://www.ncbi.nlm.nih.gov/pubmed/19965881 http://dx.doi.org/10.1093/bioinformatics/btp666 |
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author | Milne, Iain Bayer, Micha Cardle, Linda Shaw, Paul Stephen, Gordon Wright, Frank Marshall, David |
author_facet | Milne, Iain Bayer, Micha Cardle, Linda Shaw, Paul Stephen, Gordon Wright, Frank Marshall, David |
author_sort | Milne, Iain |
collection | PubMed |
description | Summary: Tablet is a lightweight, high-performance graphical viewer for next-generation sequence assemblies and alignments. Supporting a range of input assembly formats, Tablet provides high-quality visualizations showing data in packed or stacked views, allowing instant access and navigation to any region of interest, and whole contig overviews and data summaries. Tablet is both multi-core aware and memory efficient, allowing it to handle assemblies containing millions of reads, even on a 32-bit desktop machine. Availability: Tablet is freely available for Microsoft Windows, Apple Mac OS X, Linux and Solaris. Fully bundled installers can be downloaded from http://bioinf.scri.ac.uk/tablet in 32- and 64-bit versions. Contact: tablet@scri.ac.uk |
format | Text |
id | pubmed-2815658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28156582010-02-03 Tablet—next generation sequence assembly visualization Milne, Iain Bayer, Micha Cardle, Linda Shaw, Paul Stephen, Gordon Wright, Frank Marshall, David Bioinformatics Application Notes Summary: Tablet is a lightweight, high-performance graphical viewer for next-generation sequence assemblies and alignments. Supporting a range of input assembly formats, Tablet provides high-quality visualizations showing data in packed or stacked views, allowing instant access and navigation to any region of interest, and whole contig overviews and data summaries. Tablet is both multi-core aware and memory efficient, allowing it to handle assemblies containing millions of reads, even on a 32-bit desktop machine. Availability: Tablet is freely available for Microsoft Windows, Apple Mac OS X, Linux and Solaris. Fully bundled installers can be downloaded from http://bioinf.scri.ac.uk/tablet in 32- and 64-bit versions. Contact: tablet@scri.ac.uk Oxford University Press 2010-02-01 2009-12-04 /pmc/articles/PMC2815658/ /pubmed/19965881 http://dx.doi.org/10.1093/bioinformatics/btp666 Text en © The Author(s) 2009. 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 | Application Notes Milne, Iain Bayer, Micha Cardle, Linda Shaw, Paul Stephen, Gordon Wright, Frank Marshall, David Tablet—next generation sequence assembly visualization |
title | Tablet—next generation sequence assembly visualization |
title_full | Tablet—next generation sequence assembly visualization |
title_fullStr | Tablet—next generation sequence assembly visualization |
title_full_unstemmed | Tablet—next generation sequence assembly visualization |
title_short | Tablet—next generation sequence assembly visualization |
title_sort | tablet—next generation sequence assembly visualization |
topic | Application Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815658/ https://www.ncbi.nlm.nih.gov/pubmed/19965881 http://dx.doi.org/10.1093/bioinformatics/btp666 |
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