2017
DOI: 10.1038/s41598-017-10952-4
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FunctionAnnotator, a versatile and efficient web tool for non-model organism annotation

Abstract: AbsatractAlong with the constant improvement in high-throughput sequencing technology, an increasing number of transcriptome sequencing projects are carried out in organisms without decoded genome information and even on environmental biological samples. To study the biological functions of novel transcripts, the very first task is to identify their potential functions. We present a web-based annotation tool, FunctionAnnotator, which offers comprehensive annotations, including GO term assignment, enzyme annota… Show more

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Cited by 32 publications
(32 citation statements)
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“…In order to obtain a comprehensive annotation of our final sets of transcripts we used FunctionAnnotator, which is especially well-suited for non-model organism annotation [12] . The uploaded final transcriptome of Common quail in FunctionAnnotator was used for homology searches against the NCBI-NR (Non-redundant) protein sequences database with a cut-off e -value of 1e −3 .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…In order to obtain a comprehensive annotation of our final sets of transcripts we used FunctionAnnotator, which is especially well-suited for non-model organism annotation [12] . The uploaded final transcriptome of Common quail in FunctionAnnotator was used for homology searches against the NCBI-NR (Non-redundant) protein sequences database with a cut-off e -value of 1e −3 .…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…Transcripts per million (TPM) was calculated using Salmon tool. The contigs were assembled against National Center for Biotechnology Information (NCBI) non-redundant (NR) database, with the aid of FunctionAnnotator website available at http://163.25.92.60/index.php [ 25 ], and specific anuran antimicrobial peptides (AMP) database DADP [ 26 ] using the blastx algorithm, to obtain the functional annotation. The resulting annotated sequences were the ones with cut-off value of significance lower than 1 × 10 − 5 , coverage higher than 70% and protein identity (pident) higher than 60.…”
Section: Methodsmentioning
confidence: 99%
“…Annotation was performed using BLAST2GO 5.2 software for identification of Gene Ontology (GO) terms [16]. Exhaustive functional annotations of the transcript sequences were performed through Function annotator [17]. Function Annotator assisted in annotation of enzymes, best hits to NCBI nr database, GO terms, conserved domain, transmembrane protein, lipoprotein peptide, signal peptide and also subcellular localization.KEGG orthology designation was obtained based on homology searches in KAAS [18].…”
Section: Reads Mapping and Annotationmentioning
confidence: 99%