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TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB

Transcriptome Auto-annotation Conducting Tool (TACT) is a newly developed web-based automated tool for conducting functional annotation of transcripts by the integration of sequence similarity searches and functional motif predictions. We developed the TACT system by integrating two kinds of similar...

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Autores principales: Yamasaki, Chisato, Kawashima, Hiroaki, Todokoro, Fusano, Imamizu, Yasuhiro, Ogawa, Makoto, Tanino, Motohiko, Itoh, Takeshi, Gojobori, Takashi, Imanishi, Tadashi
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538819/
https://www.ncbi.nlm.nih.gov/pubmed/16845023
http://dx.doi.org/10.1093/nar/gkl283
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author Yamasaki, Chisato
Kawashima, Hiroaki
Todokoro, Fusano
Imamizu, Yasuhiro
Ogawa, Makoto
Tanino, Motohiko
Itoh, Takeshi
Gojobori, Takashi
Imanishi, Tadashi
author_facet Yamasaki, Chisato
Kawashima, Hiroaki
Todokoro, Fusano
Imamizu, Yasuhiro
Ogawa, Makoto
Tanino, Motohiko
Itoh, Takeshi
Gojobori, Takashi
Imanishi, Tadashi
author_sort Yamasaki, Chisato
collection PubMed
description Transcriptome Auto-annotation Conducting Tool (TACT) is a newly developed web-based automated tool for conducting functional annotation of transcripts by the integration of sequence similarity searches and functional motif predictions. We developed the TACT system by integrating two kinds of similarity searches, FASTY and BLASTX, against protein sequence databases, UniProtKB (Swiss-Prot/TrEMBL) and RefSeq, and a unified motif prediction program, InterProScan, into the ORF-prediction pipeline originally designed for the ‘H-Invitational’ human transcriptome annotation project. This system successively applies these constituent programs to an mRNA sequence in order to predict the most plausible ORF and the function of the protein encoded. In this study, we applied the TACT system to 19 574 non-redundant human transcripts registered in H-InvDB and evaluated its predictive power by the degree of agreement with human-curated functional annotation in H-InvDB. As a result, the TACT system could assign functional description to 12 559 transcripts (64.2%), the remainder being hypothetical proteins. Furthermore, the overall agreement of functional annotation with H-InvDB, including those transcripts annotated as hypothetical proteins, was 83.9% (16 432/19 574). These results show that the TACT system is useful for functional annotation and that the prediction of ORFs and protein functions is highly accurate and close to the results of human curation. TACT is freely available at .
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spelling pubmed-15388192006-08-18 TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB Yamasaki, Chisato Kawashima, Hiroaki Todokoro, Fusano Imamizu, Yasuhiro Ogawa, Makoto Tanino, Motohiko Itoh, Takeshi Gojobori, Takashi Imanishi, Tadashi Nucleic Acids Res Article Transcriptome Auto-annotation Conducting Tool (TACT) is a newly developed web-based automated tool for conducting functional annotation of transcripts by the integration of sequence similarity searches and functional motif predictions. We developed the TACT system by integrating two kinds of similarity searches, FASTY and BLASTX, against protein sequence databases, UniProtKB (Swiss-Prot/TrEMBL) and RefSeq, and a unified motif prediction program, InterProScan, into the ORF-prediction pipeline originally designed for the ‘H-Invitational’ human transcriptome annotation project. This system successively applies these constituent programs to an mRNA sequence in order to predict the most plausible ORF and the function of the protein encoded. In this study, we applied the TACT system to 19 574 non-redundant human transcripts registered in H-InvDB and evaluated its predictive power by the degree of agreement with human-curated functional annotation in H-InvDB. As a result, the TACT system could assign functional description to 12 559 transcripts (64.2%), the remainder being hypothetical proteins. Furthermore, the overall agreement of functional annotation with H-InvDB, including those transcripts annotated as hypothetical proteins, was 83.9% (16 432/19 574). These results show that the TACT system is useful for functional annotation and that the prediction of ORFs and protein functions is highly accurate and close to the results of human curation. TACT is freely available at . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538819/ /pubmed/16845023 http://dx.doi.org/10.1093/nar/gkl283 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Yamasaki, Chisato
Kawashima, Hiroaki
Todokoro, Fusano
Imamizu, Yasuhiro
Ogawa, Makoto
Tanino, Motohiko
Itoh, Takeshi
Gojobori, Takashi
Imanishi, Tadashi
TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
title TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
title_full TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
title_fullStr TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
title_full_unstemmed TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
title_short TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
title_sort tact: transcriptome auto-annotation conducting tool of h-invdb
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538819/
https://www.ncbi.nlm.nih.gov/pubmed/16845023
http://dx.doi.org/10.1093/nar/gkl283
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