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BMC Biotechnol. 2012; 12: 16.
Published online May 3, 2012. doi:  10.1186/1472-6750-12-16
PMCID: PMC3424822
Pattern analysis approach reveals restriction enzyme cutting abnormalities and other cDNA library construction artifacts using raw EST data
Sun Zhou,corresponding author1 Guoli Ji,corresponding author1 Xiaolin Liu,1 Pei Li,1,2 James Moler,2,3 John E Karro,3,4,5 and Chun Liangcorresponding author2,3
1Department of Automation, Xiamen University, Xiamen, Fujian, 361005, China
2Department of Botany, Oxford, OH, 45056, USA
3Department of Computer Science and Systems Analysis, Oxford, OH, 45056, USA
4Department of Microbiology, Oxford, OH, 45056, USA
5Department of Statistics, Miami University, Oxford, OH, 45056, USA
corresponding authorCorresponding author.
Sun Zhou: zhousun/at/xmu.edu.cn; Guoli Ji: glji/at/xmu.edu.cn; Xiaolin Liu: qiqilunxi/at/163.com; Pei Li: peil/at/muohio.edu; James Moler: molerjc/at/muohio.edu; John E Karro: karroje/at/muohio.edu; Chun Liang: liangc/at/muohio.edu
Received December 18, 2011; Accepted March 15, 2012.
Abstract
Background
Expressed Sequence Tag (EST) sequences are widely used in applications such as genome annotation, gene discovery and gene expression studies. However, some of GenBank dbEST sequences have proven to be “unclean”. Identification of cDNA termini/ends and their structures in raw ESTs not only facilitates data quality control and accurate delineation of transcription ends, but also furthers our understanding of the potential sources of data abnormalities/errors present in the wet-lab procedures for cDNA library construction.
Results
After analyzing a total of 309,976 raw Pinus taeda ESTs, we uncovered many distinct variations of cDNA termini, some of which prove to be good indicators of wet-lab artifacts, and characterized each raw EST by its cDNA terminus structure patterns. In contrast to the expected patterns, many ESTs displayed complex and/or abnormal patterns that represent potential wet-lab errors such as: a failure of one or both of the restriction enzymes to cut the plasmid vector; a failure of the restriction enzymes to cut the vector at the correct positions; the insertion of two cDNA inserts into a single vector; the insertion of multiple and/or concatenated adapters/linkers; the presence of 3′-end terminal structures in designated 5′-end sequences or vice versa; and so on. With a close examination of these artifacts, many problematic ESTs that have been deposited into public databases by conventional bioinformatics pipelines or tools could be cleaned or filtered by our methodology. We developed a software tool for Abnormality Filtering and Sequence Trimming for ESTs (AFST, http://code.google.com/p/afst/) using a pattern analysis approach. To compare AFST with other pipelines that submitted ESTs into dbEST, we reprocessed 230,783 Pinus taeda and 38,709 Arachis hypogaea GenBank ESTs. We found 7.4% of Pinus taeda and 29.2% of Arachis hypogaea GenBank ESTs are “unclean” or abnormal, all of which could be cleaned or filtered by AFST.
Conclusions
cDNA terminal pattern analysis, as implemented in the AFST software tool, can be utilized to reveal wet-lab errors such as restriction enzyme cutting abnormities and chimeric EST sequences, detect various data abnormalities embedded in existing Sanger EST datasets, improve the accuracy of identifying and extracting bona fide cDNA inserts from raw ESTs, and therefore greatly benefit downstream EST-based applications.
Keywords: cDNA terminus, cDNA library construction, Pattern analysis, Restriction enzyme cutting abnormality, Chimeric EST sequences
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