ArticleBMC genomics2012
FastAnnotator--an efficient transcript annotation web tool.
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
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- Employing Genomic Tools to Explore the Molecular Mechanisms behind the Enhancement of Plant Growth and Stress Resilience Facilitated by aInternational journal of molecular sciences · 2024Article
- Examining the Transcriptomic and Biochemical Signatures ofInternational journal of molecular sciences · 2023Article
- Exploring the Biologically Active Metabolites Produced byMetabolites · 2023Article
- Exploring the edible gum (galactomannan) biosynthesis and its regulation during pod developmental stages in clusterbean using comparative transcriptomic approach.Scientific reports · 2021Article
- Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing.Biology · 2020Review
- Phylogenomic proof of Recurrent Demipolyploidization and Evolutionary Stalling of the "Triploid Bridge" inInternational journal of molecular sciences · 2020Article
- Venomics of the ectoparasitoid wasp Bracon nigricans.BMC genomics · 2020Article
- Novel Organelles with Elements of Bacterial and Eukaryotic Secretion Systems Weaponize Parasites of Drosophila.Current biology : CB · 2017Article
- FunctionAnnotator, a versatile and efficient web tool for non-model organism annotation.Scientific reports · 2017Article
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- PARRoT- a homology-based strategy to quantify and compare RNA-sequencing from non-model organisms.BMC bioinformatics · 2016Article
- Comparative transcriptome profiling of resistant and susceptible rice genotypes in response to the seedborne pathogen Fusarium fujikuroi.BMC genomics · 2016Article
- Genome-wide Identification and Structural, Functional and Evolutionary Analysis of WRKY Components of Mulberry.Scientific reports · 2016Article
- Thermal reactionomes reveal divergent responses to thermal extremes in warm and cool-climate ant species.BMC genomics · 2016Article
- Comparative transcriptomics and comprehensive marker resource development in mulberry.BMC genomics · 2016Article
- Dissection of early transcriptional responses to water stress in Arundo donax L. by unigene-based RNA-seq.Biotechnology for biofuels · 2016Article
- Transcriptomic and Proteomic Analysis of Arion vulgaris--Proteins for Probably Successful Survival Strategies?PloS one · 2016Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent developments in high-throughput sequencing (HTS) technologies have made it feasible to sequence the complete transcriptomes of non-model organisms or metatranscriptomes from environmental samples. The challenge after generating hundreds of millions of sequences is to annotate these transcripts and classify the transcripts based on their putative functions. Because many biological scientists lack the knowledge to install Linux-based software packages or maintain databases used for transcript annotation, we developed an automatic annotation tool with an easy-to-use interface.
methodsTo elucidate the potential functions of gene transcripts, we integrated well-established annotation tools: Blast2GO, PRIAM and RPS BLAST in a web-based service, FastAnnotator, which can assign Gene Ontology (GO) terms, Enzyme Commission numbers (EC numbers) and functional domains to query sequences.
resultsUsing six transcriptome sequence datasets as examples, we demonstrated the ability of FastAnnotator to assign functional annotations. FastAnnotator annotated 88.1% and 81.3% of the transcripts from the well-studied organisms Caenorhabditis elegans and Streptococcus parasanguinis, respectively. Furthermore, FastAnnotator annotated 62.9%, 20.4%, 53.1% and 42.0% of the sequences from the transcriptomes of sweet potato, clam, amoeba, and Trichomonas vaginalis, respectively, which lack reference genomes. We demonstrated that FastAnnotator can complete the annotation process in a reasonable amount of time and is suitable for the annotation of transcriptomes from model organisms or organisms for which annotated reference genomes are not avaiable.
conclusionsThe sequencing process no longer represents the bottleneck in the study of genomics, and automatic annotation tools have become invaluable as the annotation procedure has become the limiting step. We present FastAnnotator, which was an automated annotation web tool designed to efficiently annotate sequences with their gene functions, enzyme functions or domains. FastAnnotator is useful in transcriptome studies and especially for those focusing on non-model organisms or metatranscriptomes. FastAnnotator does not require local installation and is freely available at http://fastannotator.cgu.edu.tw.
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