Evidence map›Paper›PMID 17997864›Full record

ArticleBMC genomics2007

An optimized procedure greatly improves EST vector contamination removal.

Yi-An Chen, Chang-Chun Lin, Chin-Di Wang, Huan-Bin Wu, Pei-Ing Hwang

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Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

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53citing papers in PubMed
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53 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Yi-An ChenBioinformatics Core Laboratory, Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan. chenyian@gate.sinica.edu.tw
Chang-Chun Lin
Chin-Di Wang
Huan-Bin Wu
Pei-Ing Hwang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe enormous amount of sequence data available in the public domain database has been a gold mine for researchers exploring various themes in life sciences, and hence the quality of such data is of serious concern to researchers. Removal of vector contamination is one of the most significant operations to obtain accurate sequence data containing only a cDNA insert from the basecalls output by an automatic DNA sequencer. Popular bioinformatics programs to accomplish vector trimming include LUCY, cross_match and SeqClean.

resultsIn a recent study, where the program SeqClean was used to remove vector contamination from our test set of EST data compiled through various library construction systems, however, a significant number of errors remained after preliminary trimming. These errors were later almost completely corrected by simply using a re-linearized form of the cloning vector to compare against the target ESTs. The modified trimming procedure for SeqClean was also compared with the trimming efficiency of the other two popular programs, LUCY2, and cross_match. Using SeqClean with a re-linearized form of the cloning vector significantly surpassed the other two programs in all tested conditions, while the performance of the other two programs was not influenced by the modified procedure. Vector contamination in dbEST was also investigated in this study: 2203 out of the 48212 ESTs sampled from dbEST (2007-04-18 freeze) were found to match sequences in UNIVEC.

conclusionVector contamination remains a serious concern to the data quality in the public sequence database nowadays. Based on the results presented here, we feel that our modified procedure with SeqClean should be recommended to all researchers for the task of vector removal from EST or genomic sequences.

Indexed as

Expressed Sequence TagsGenetic VectorsBase SequenceMolecular Sequence Data

Identifiers

PMID17997864
PMCPMC2194723

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.