ESTPiper--a web-based analysis pipeline for expressed sequence tags

Zuojian Tang; Jeong-Hyeon Choi; Chris Hemmerich; Ankita Sarangi; John K Colbourne; Qunfeng Dong

doi:10.1186/1471-2164-10-174

ESTPiper--a web-based analysis pipeline for expressed sequence tags

Zuojian Tang, Jeong-Hyeon Choi, Chris Hemmerich, Ankita Sarangi, John K Colbourne, Qunfeng Dong

Biosciences

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Abstract

EST sequencing projects are increasing in scale and scope as the genome sequencing technologies migrate from core sequencing centers to individual research laboratories. Effectively, generating EST data is no longer a bottleneck for investigators. However, processing large amounts of EST data remains a non-trivial challenge for many. Web-based EST analysis tools are proving to be the most convenient option for biologists when performing their analysis, so these tools must continuously improve on their utility to keep in step with the growing needs of research communities. We have developed a web-based EST analysis pipeline called ESTPiper, which streamlines typical large-scale EST analysis components.

Original language	English
Article number	174
Journal	BMC Genomics
Volume	10
DOIs	https://doi.org/10.1186/1471-2164-10-174
Publication status	Published - 21 Apr 2009

Keywords

Computational Biology
Database Management Systems
Databases, Genetic
Expressed Sequence Tags
Genomics
Information Storage and Retrieval
Internet
Sequence Alignment
Software

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10.1186/1471-2164-10-174

Tang_et_al_ESTPiper_BMC_Genomics_2009
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Checked July 2015
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Cite this

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title = "ESTPiper--a web-based analysis pipeline for expressed sequence tags",

abstract = "EST sequencing projects are increasing in scale and scope as the genome sequencing technologies migrate from core sequencing centers to individual research laboratories. Effectively, generating EST data is no longer a bottleneck for investigators. However, processing large amounts of EST data remains a non-trivial challenge for many. Web-based EST analysis tools are proving to be the most convenient option for biologists when performing their analysis, so these tools must continuously improve on their utility to keep in step with the growing needs of research communities. We have developed a web-based EST analysis pipeline called ESTPiper, which streamlines typical large-scale EST analysis components.",

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AU - Tang, Zuojian

AU - Choi, Jeong-Hyeon

AU - Hemmerich, Chris

AU - Sarangi, Ankita

AU - Colbourne, John K

AU - Dong, Qunfeng

PY - 2009/4/21

Y1 - 2009/4/21

N2 - EST sequencing projects are increasing in scale and scope as the genome sequencing technologies migrate from core sequencing centers to individual research laboratories. Effectively, generating EST data is no longer a bottleneck for investigators. However, processing large amounts of EST data remains a non-trivial challenge for many. Web-based EST analysis tools are proving to be the most convenient option for biologists when performing their analysis, so these tools must continuously improve on their utility to keep in step with the growing needs of research communities. We have developed a web-based EST analysis pipeline called ESTPiper, which streamlines typical large-scale EST analysis components.

AB - EST sequencing projects are increasing in scale and scope as the genome sequencing technologies migrate from core sequencing centers to individual research laboratories. Effectively, generating EST data is no longer a bottleneck for investigators. However, processing large amounts of EST data remains a non-trivial challenge for many. Web-based EST analysis tools are proving to be the most convenient option for biologists when performing their analysis, so these tools must continuously improve on their utility to keep in step with the growing needs of research communities. We have developed a web-based EST analysis pipeline called ESTPiper, which streamlines typical large-scale EST analysis components.

KW - Computational Biology

KW - Database Management Systems

KW - Databases, Genetic

KW - Expressed Sequence Tags

KW - Genomics

KW - Information Storage and Retrieval

KW - Internet

KW - Sequence Alignment

KW - Software

U2 - 10.1186/1471-2164-10-174

DO - 10.1186/1471-2164-10-174

M3 - Article

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SN - 1471-2164

VL - 10

JO - BMC Genomics

JF - BMC Genomics

M1 - 174

ER -

ESTPiper--a web-based analysis pipeline for expressed sequence tags

Abstract

Keywords

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