2007
DOI: 10.1007/978-3-540-74972-1_46
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SeqTrim — A Validation and Trimming Tool for All Purpose Sequence Reads

Abstract: Abstract. Bioinformatics tools are required to produce reliable, high quality data devoid of unwanted sequences in the preprocessing stage of current sequencing and EST projects. In this paper we describe SeqTrim, an algorithm designed to extract the insert sequence from any sequence read devoid of any foreign, contaminant or unwanted sequence, whatever the experimental process was. SeqTrim is easy to install and able to identify the sequence insert by removing low quality sequences, cloning vector, poly A or … Show more

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Cited by 5 publications
(6 citation statements)
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References 13 publications
(18 reference statements)
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“…In order to estimate the number of different Unigenes identified, two independent steps of filtering were performed to remove any possible source of contamination from the final transcriptome and to avoid redundancy as far as possible. On the one hand, sequences without blast results were analyzed using SeqTrimNext software (advanced version of SeqTrim, Falgueras et al, 2007 ) with a specific template customized for Roche 454 GS-FLX plant transcriptomic data. To identify and reject sequences from inoculated organisms an additional comparison was performed with a database containing sequences from O. novo-ulmi and O. ulmi genomes ( Forgetta et al, 2013 ; Khoshraftar et al, 2013 ), from D. concentrica (48 sequences in GenBank database) and sequences from D. eschscholzii genome ( Ng et al, 2012 ).…”
Section: Methodsmentioning
confidence: 99%
“…In order to estimate the number of different Unigenes identified, two independent steps of filtering were performed to remove any possible source of contamination from the final transcriptome and to avoid redundancy as far as possible. On the one hand, sequences without blast results were analyzed using SeqTrimNext software (advanced version of SeqTrim, Falgueras et al, 2007 ) with a specific template customized for Roche 454 GS-FLX plant transcriptomic data. To identify and reject sequences from inoculated organisms an additional comparison was performed with a database containing sequences from O. novo-ulmi and O. ulmi genomes ( Forgetta et al, 2013 ; Khoshraftar et al, 2013 ), from D. concentrica (48 sequences in GenBank database) and sequences from D. eschscholzii genome ( Ng et al, 2012 ).…”
Section: Methodsmentioning
confidence: 99%
“…Clones with confirmed single inserts were sequenced single-pass (McGill University and Génome Québec Innovation Center). Sequences were base called using phred (Green 2002 ) and trimmed using SeqTrim (Falgueras et al 2007 ). The sequences appear in public sequence databases under the GenBank accession numbers GW696871 to GW698115.…”
Section: Methodsmentioning
confidence: 99%
“…Selected clones were single-pass sequenced (Macrogen Inc., Seoul, Korea). Sequences were trimmed using SeqTrim v0.098 -w0.19 29 e-values lower than 1 × 10 -10 were considered significant. Functional classification was performed according to KEGG.…”
Section: Methodsmentioning
confidence: 99%