2015
DOI: 10.1093/bioinformatics/btv106
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Annocript: a flexible pipeline for the annotation of transcriptomes able to identify putative long noncoding RNAs

Abstract: remo.sanges@szn.it.

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Cited by 102 publications
(79 citation statements)
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“…The model built on the training data was applied to the entire repeat masked assembly, together with external support from homologous proteins aligned using E xonerate (Slater & Birney, 2005). The predicted gene models were annotated using A nnocript (Musacchia et al ., 2015). …”
Section: Methodsmentioning
confidence: 99%
“…The model built on the training data was applied to the entire repeat masked assembly, together with external support from homologous proteins aligned using E xonerate (Slater & Birney, 2005). The predicted gene models were annotated using A nnocript (Musacchia et al ., 2015). …”
Section: Methodsmentioning
confidence: 99%
“…We used the Annocript pipeline21 to annotate these 77 hypothetical DEGs. Annocript successfully annotated 29 DEGs, based on the data at the Swiss-Prot (SP) and UniRef90 databases22 (Supplementary Table S6).…”
Section: Resultsmentioning
confidence: 99%
“…To annotate the hypothetical DEGs, we used the custom pipeline Annocript21 (https://github.com/frankMusacchia/Annocript/tree/master/GUIDE). We used Swiss-Prot (SP) and UniRef9022 (version: August 2015) databases for blastp searches with the following parameters: word_size = 4; e-value = 10 −5 ; num_descriptions = 5; num_alignments = 5; threshold = 18.…”
Section: Methodsmentioning
confidence: 99%
“…Final transcriptomes were then annotated with Annocript (version 1.2, Musacchia et al 2015) using the UniProt Reference Clusters (UniRef) database (version February 2016;Suzek et al 2015). Transcripts with significant blast hits (E value < 1e−5) against possible contaminants (plants, fungus, mites, and bacteria) in UniRef were removed from the final dataset and were also used to identify other contaminants based on cluster analysis from Corset, as described in Araujo et al (2016).…”
Section: Transcriptome Assemblymentioning
confidence: 99%