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WebTraceMiner: a web service for processing and mining EST sequence trace files
Expressed sequence tags (ESTs) remain a dominant approach for characterizing the protein-encoding portions of various genomes. Due to inherent deficiencies, they also present serious challenges for data quality control. Before GenBank submission, EST sequences are typically screened and trimmed of v...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933163/ https://www.ncbi.nlm.nih.gov/pubmed/17488839 http://dx.doi.org/10.1093/nar/gkm299 |
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author | Liang, Chun Wang, Gang Liu, Lin Ji, Guoli Liu, Yuansheng Chen, Jinqiao Webb, Jason S. Reese, Greg Dean, Jeffrey F. D. |
author_facet | Liang, Chun Wang, Gang Liu, Lin Ji, Guoli Liu, Yuansheng Chen, Jinqiao Webb, Jason S. Reese, Greg Dean, Jeffrey F. D. |
author_sort | Liang, Chun |
collection | PubMed |
description | Expressed sequence tags (ESTs) remain a dominant approach for characterizing the protein-encoding portions of various genomes. Due to inherent deficiencies, they also present serious challenges for data quality control. Before GenBank submission, EST sequences are typically screened and trimmed of vector and adapter/linker sequences, as well as polyA/T tails. Removal of these sequences presents an obstacle for data validation of error-prone ESTs and impedes data mining of certain functional motifs, whose detection relies on accurate annotation of positional information for polyA tails added posttranscriptionally. As raw DNA sequence information is made increasingly available from public repositories, such as NCBI Trace Archive, new tools will be necessary to reanalyze and mine this data for new information. WebTraceMiner (www.conifergdb.org/software/wtm) was designed as a public sequence processing service for raw EST traces, with a focus on detection and mining of sequence features that help characterize 3′ and 5′ termini of cDNA inserts, including vector fragments, adapter/linker sequences, insert-flanking restriction endonuclease recognition sites and polyA or polyT tails. WebTraceMiner complements other public EST resources and should prove to be a unique tool to facilitate data validation and mining of error-prone ESTs (e.g. discovery of new functional motifs). |
format | Text |
id | pubmed-1933163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-19331632007-07-31 WebTraceMiner: a web service for processing and mining EST sequence trace files Liang, Chun Wang, Gang Liu, Lin Ji, Guoli Liu, Yuansheng Chen, Jinqiao Webb, Jason S. Reese, Greg Dean, Jeffrey F. D. Nucleic Acids Res Articles Expressed sequence tags (ESTs) remain a dominant approach for characterizing the protein-encoding portions of various genomes. Due to inherent deficiencies, they also present serious challenges for data quality control. Before GenBank submission, EST sequences are typically screened and trimmed of vector and adapter/linker sequences, as well as polyA/T tails. Removal of these sequences presents an obstacle for data validation of error-prone ESTs and impedes data mining of certain functional motifs, whose detection relies on accurate annotation of positional information for polyA tails added posttranscriptionally. As raw DNA sequence information is made increasingly available from public repositories, such as NCBI Trace Archive, new tools will be necessary to reanalyze and mine this data for new information. WebTraceMiner (www.conifergdb.org/software/wtm) was designed as a public sequence processing service for raw EST traces, with a focus on detection and mining of sequence features that help characterize 3′ and 5′ termini of cDNA inserts, including vector fragments, adapter/linker sequences, insert-flanking restriction endonuclease recognition sites and polyA or polyT tails. WebTraceMiner complements other public EST resources and should prove to be a unique tool to facilitate data validation and mining of error-prone ESTs (e.g. discovery of new functional motifs). Oxford University Press 2007-07 2007-05-08 /pmc/articles/PMC1933163/ /pubmed/17488839 http://dx.doi.org/10.1093/nar/gkm299 Text en © 2007 The Author(s) 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/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Liang, Chun Wang, Gang Liu, Lin Ji, Guoli Liu, Yuansheng Chen, Jinqiao Webb, Jason S. Reese, Greg Dean, Jeffrey F. D. WebTraceMiner: a web service for processing and mining EST sequence trace files |
title | WebTraceMiner: a web service for processing and mining EST sequence trace files |
title_full | WebTraceMiner: a web service for processing and mining EST sequence trace files |
title_fullStr | WebTraceMiner: a web service for processing and mining EST sequence trace files |
title_full_unstemmed | WebTraceMiner: a web service for processing and mining EST sequence trace files |
title_short | WebTraceMiner: a web service for processing and mining EST sequence trace files |
title_sort | webtraceminer: a web service for processing and mining est sequence trace files |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933163/ https://www.ncbi.nlm.nih.gov/pubmed/17488839 http://dx.doi.org/10.1093/nar/gkm299 |
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