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TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
2006
Nucleic Acids Research
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 ...
in H-InvDB. ...
The authors acknowledge all the members of the H-Invitational consortium, especially the staffs of JBIRC and DDBJ for construction of H-InvDB. ...
doi:10.1093/nar/gkl283
pmid:16845023
pmcid:PMC1538819
fatcat:7xocpb6dmjccvbbjxxygk7pid4
H-InvDB: A Comprehensive Annotation Resource For Human Transcriptome
2010
Nature Precedings
The latest release of H-InvDB (release 7.5) provides annotation for 242,813 human transcripts in 44,806 human gene clusters based on human full-length cDNAs, mRNAs and the reference human genome sequences ...
/hinvNaviTop.jsp) and "H-InvDB Enrichment Analysis Tool (HEAT)" , a data mining tool for automatically identifying features specific to a given human gene set (http://hinv.jp/HEAT/ ). ...
TACT :Transcriptome Auto-annotation Conducting Tool A web-based automated prediction tool of functional annotation that was newly developed by integrating ORF prediction, similarity searches and motif ...
doi:10.1038/npre.2010.5272.1
fatcat:nog5ihdzzbfcfgotrucnv45awa
H-InvDB: A Comprehensive Annotation Resource For Human Transcriptome
2010
Nature Precedings
The latest release of H-InvDB (release 7.5) provides annotation for 242,813 human transcripts in 44,806 human gene clusters based on human full-length cDNAs, mRNAs and the reference human genome sequences ...
/hinvNaviTop.jsp) and "H-InvDB Enrichment Analysis Tool (HEAT)" , a data mining tool for automatically identifying features specific to a given human gene set (http://hinv.jp/HEAT/ ). ...
TACT :Transcriptome Auto-annotation Conducting Tool A web-based automated prediction tool of functional annotation that was newly developed by integrating ORF prediction, similarity searches and motif ...
doi:10.1038/npre.2010.5272
fatcat:wcqjysxtbvchxm2ukgzobdnjoq
H-InvDB: A Comprehensive Annotation Resource For Human Transcriptome
2010
Nature Precedings
The latest release of H-InvDB (release 7.5) provides annotation for 242,813 human transcripts in 44,806 human gene clusters based on human full-length cDNAs, mRNAs and the reference human genome sequences ...
/hinvNaviTop.jsp) and "H-InvDB Enrichment Analysis Tool (HEAT)" , a data mining tool for automatically identifying features specific to a given human gene set (http://hinv.jp/HEAT/ ). ...
TACT :Transcriptome Auto-annotation Conducting Tool A web-based automated prediction tool of functional annotation that was newly developed by integrating ORF prediction, similarity searches and motif ...
doi:10.1038/npre.2010.5271
fatcat:natwwhqmqrb6zkpbzq4j3vzr2y
H-InvDB: A Comprehensive Annotation Resource For Human Transcriptome
2010
Nature Precedings
The latest release of H-InvDB (release 7.5) provides annotation for 242,813 human transcripts in 44,806 human gene clusters based on human full-length cDNAs, mRNAs and the reference human genome sequences ...
/hinvNaviTop.jsp) and "H-InvDB Enrichment Analysis Tool (HEAT)" , a data mining tool for automatically identifying features specific to a given human gene set (http://hinv.jp/HEAT/ ). ...
TACT :Transcriptome Auto-annotation Conducting Tool A web-based automated prediction tool of functional annotation that was newly developed by integrating ORF prediction, similarity searches and motif ...
doi:10.1038/npre.2010.5271.1
fatcat:dss4ef2fbreqjpx2irahhd4djy
The AnnoLite and AnnoLyze programs for comparative annotation of protein structures
2007
BMC Bioinformatics
TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB TACT is freely available at http://www.jbirc.aist.go.jp/tact/. ...
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 ...
doi:10.1186/1471-2105-8-s4-s4
pmid:17570147
pmcid:PMC1892083
fatcat:o5p5c46emzbhxlmq27vqibskdi