Evidence map›Paper›PMID 23281853›Full record

ArticleBMC genomics2012

FastAnnotator--an efficient transcript annotation web tool.

Ting-Wen Chen, Ruei-Chi Richie Gan, Timothy H Wu, Po-Jung Huang, Cheng-Yang Lee, Yi-Ywan M Chen, Che-Chun Chen, Petrus Tang

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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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39citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
  2. Transcriptomic Characterization of Male Formosan Pangolin (Animals : an open access journal from MDPI · 2024
    Article
  3. Article
  4. Examining the Transcriptomic and Biochemical Signatures ofInternational journal of molecular sciences · 2023
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ting-Wen ChenMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Ruei-Chi Richie Gan
Timothy H Wu
Po-Jung Huang
Cheng-Yang Lee
Yi-Ywan M Chen
Che-Chun Chen
Petrus Tang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

SoftwareAnimalsBase SequenceCaenorhabditis elegansDatabases, GeneticGenomeGenome, BacterialInternetStreptococcusTranscriptomeUser-Computer Interface

Identifiers

PMID23281853
PMCPMC3521244

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.