Literature DB >> 22942788

SeqTrace: a graphical tool for rapidly processing DNA sequencing chromatograms.

Brian J Stucky1.   

Abstract

Modern applications of Sanger DNA sequencing often require converting a large number of chromatogram trace files into high-quality DNA sequences for downstream analyses. Relatively few nonproprietary software tools are available to assist with this process. SeqTrace is a new, free, and open-source software application that is designed to automate the entire workflow by facilitating easy batch processing of large numbers of trace files. SeqTrace can identify, align, and compute consensus sequences from matching forward and reverse traces, filter low-quality base calls, and end-trim finished sequences. The software features a graphical interface that includes a full-featured chromatogram viewer and sequence editor. SeqTrace runs on most popular operating systems and is freely available, along with supporting documentation, at http://seqtrace.googlecode.com/.

Keywords:  bioinformatics; sequence analysis; software

Mesh:

Year:  2012        PMID: 22942788      PMCID: PMC3413935          DOI: 10.7171/jbt.12-2303-004

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  13 in total

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3.  ZTR: a new format for DNA sequence trace data.

Authors:  James K Bonfield; Rodger Staden
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Authors:  D Walther; G Bartha; M Morris
Journal:  Genome Res       Date:  2001-05       Impact factor: 9.043

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Authors:  S Dear; R Staden
Journal:  DNA Seq       Date:  1992

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Journal:  Bioinformatics       Date:  2005-12-15       Impact factor: 6.937

8.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

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Authors:  S B Needleman; C D Wunsch
Journal:  J Mol Biol       Date:  1970-03       Impact factor: 5.469

10.  Gap5--editing the billion fragment sequence assembly.

Authors:  James K Bonfield; Andrew Whitwham
Journal:  Bioinformatics       Date:  2010-05-30       Impact factor: 6.937

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Authors:  W Y Wong; K Y Ma; L M Tsang; K H Chu
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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-11-11       Impact factor: 6.237

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10.  Functional Diversity of the Litter-Associated Fungi from an Oxalate-Carbonate Pathway Ecosystem in Madagascar.

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