2014
DOI: 10.1093/dnares/dsu001
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Sma3s: A Three-Step Modular Annotator for Large Sequence Datasets

Abstract: Automatic sequence annotation is an essential component of modern ‘omics’ studies, which aim to extract information from large collections of sequence data. Most existing tools use sequence homology to establish evolutionary relationships and assign putative functions to sequences. However, it can be difficult to define a similarity threshold that achieves sufficient coverage without sacrificing annotation quality. Defining the correct configuration is critical and can be challenging for non-specialist users. … Show more

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Cited by 47 publications
(42 citation statements)
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References 30 publications
(34 reference statements)
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“…The initial assignment of Gene Ontology (GO) terms for predicted proteins was performed using the UniProtKB/Swiss-Prot database (UniProt Consortium 2015) and the third module of the Sma3s program (Muñoz-Mérida et al. 2014), modified to accept only reciprocal BLAST hits for annotation.…”
Section: Methodsmentioning
confidence: 99%
“…The initial assignment of Gene Ontology (GO) terms for predicted proteins was performed using the UniProtKB/Swiss-Prot database (UniProt Consortium 2015) and the third module of the Sma3s program (Muñoz-Mérida et al. 2014), modified to accept only reciprocal BLAST hits for annotation.…”
Section: Methodsmentioning
confidence: 99%
“…All the sequences were permuted to set the repA gene as the start position prior to annotation. Isolates genome annotation was complemented with the Sma3s tool v.2 (30) and by integrating data from conserved domains searches performed with InterProScan v.5.30-69.0 (31,32) . Integrons occuring in the Thai megaplasmids were identified using the Integron Finder package v.1.5.1 (33)(34)(35)(36) .…”
Section: Annotationmentioning
confidence: 99%
“…Transcripts were annotated using Sma3s (Muñoz-Mérida et al, 2014), AutoFact and Full-LengtherNext filtering for E < 10 −10 and a minimal identity of 30% as reported in Benzekri et al (2014). The homology identification analysis was performed using Blastx at NCBI database.…”
Section: Bioinformatic Analysismentioning
confidence: 99%