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RecountDB: a database of mapped and count corrected transcribed sequences
The field of gene expression analysis continues to benefit from next-generation sequencing generated data, which enables transcripts to be measured with unmatched accuracy and resolution. But the high-throughput reads from these technologies also contain many errors, which can compromise the ability...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245132/ https://www.ncbi.nlm.nih.gov/pubmed/22139942 http://dx.doi.org/10.1093/nar/gkr1172 |
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author | Wijaya, Edward Frith, Martin C. Asai, Kiyoshi Horton, Paul |
author_facet | Wijaya, Edward Frith, Martin C. Asai, Kiyoshi Horton, Paul |
author_sort | Wijaya, Edward |
collection | PubMed |
description | The field of gene expression analysis continues to benefit from next-generation sequencing generated data, which enables transcripts to be measured with unmatched accuracy and resolution. But the high-throughput reads from these technologies also contain many errors, which can compromise the ability to accurately detect and quantify rare transcripts. Fortunately, techniques exist to ameliorate the affects of sequencer error. We present RecountDB, a secondary database derived from primary data in NCBI's short read archive. RecountDB holds sequence counts from RNA-seq and 5′ capped transcription start site experiments, corrected and mapped to the relevant genome. Via a searchable and browseable interface users can obtain corrected data in formats useful for transcriptomic analysis. The database is currently populated with 2265 entries from 45 organisms and continuously growing. RecountDB is publicly available at: http://recountdb.cbrc.jp. |
format | Online Article Text |
id | pubmed-3245132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32451322012-01-10 RecountDB: a database of mapped and count corrected transcribed sequences Wijaya, Edward Frith, Martin C. Asai, Kiyoshi Horton, Paul Nucleic Acids Res Articles The field of gene expression analysis continues to benefit from next-generation sequencing generated data, which enables transcripts to be measured with unmatched accuracy and resolution. But the high-throughput reads from these technologies also contain many errors, which can compromise the ability to accurately detect and quantify rare transcripts. Fortunately, techniques exist to ameliorate the affects of sequencer error. We present RecountDB, a secondary database derived from primary data in NCBI's short read archive. RecountDB holds sequence counts from RNA-seq and 5′ capped transcription start site experiments, corrected and mapped to the relevant genome. Via a searchable and browseable interface users can obtain corrected data in formats useful for transcriptomic analysis. The database is currently populated with 2265 entries from 45 organisms and continuously growing. RecountDB is publicly available at: http://recountdb.cbrc.jp. Oxford University Press 2012-01 2011-12-01 /pmc/articles/PMC3245132/ /pubmed/22139942 http://dx.doi.org/10.1093/nar/gkr1172 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Wijaya, Edward Frith, Martin C. Asai, Kiyoshi Horton, Paul RecountDB: a database of mapped and count corrected transcribed sequences |
title | RecountDB: a database of mapped and count corrected transcribed sequences |
title_full | RecountDB: a database of mapped and count corrected transcribed sequences |
title_fullStr | RecountDB: a database of mapped and count corrected transcribed sequences |
title_full_unstemmed | RecountDB: a database of mapped and count corrected transcribed sequences |
title_short | RecountDB: a database of mapped and count corrected transcribed sequences |
title_sort | recountdb: a database of mapped and count corrected transcribed sequences |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245132/ https://www.ncbi.nlm.nih.gov/pubmed/22139942 http://dx.doi.org/10.1093/nar/gkr1172 |
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