Related Experiment Videos
TACT: Transcriptome Auto-annotation Conducting Tool of H-InvDB
Chisato Yamasaki1, Hiroaki Kawashima, Fusano Todokoro
1Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics Consortium, AIST Waterfront Bio-IT Research Building, 2-42 Aomi, Koto-ku, Tokyo 135-0064, Japan.
Nucleic Acids Research
|July 18, 2006
Summary
The Transcriptome Auto-annotation Conducting Tool (TACT) provides automated functional annotation for human transcripts. This tool accurately predicts protein functions and open reading frames (ORFs), achieving high agreement with human curation.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Functional annotation of transcripts is crucial for understanding biological processes.
- Existing methods can be time-consuming and require significant manual curation.
- Automated tools are needed to improve the efficiency and scalability of transcript annotation.
Purpose of the Study:
- To develop and evaluate the Transcriptome Auto-annotation Conducting Tool (TACT) for automated functional annotation of human transcripts.
- To assess the accuracy and efficiency of TACT in predicting open reading frames (ORFs) and protein functions.
- To compare TACT's performance against human-curated annotations.
Main Methods:
- Integration of sequence similarity searches (FASTY, BLASTX) against protein databases (UniProtKB, RefSeq).
- Inclusion of functional motif prediction using InterProScan.
- Application of these methods within an ORF-prediction pipeline for mRNA sequences.
- Evaluation using 19,574 non-redundant human transcripts from H-InvDB.
Main Results:
- TACT assigned functional descriptions to 64.2% (12,559) of the transcripts.
- An overall agreement of 83.9% was achieved when compared to human-curated annotations in H-InvDB.
- The tool demonstrated high accuracy in predicting ORFs and protein functions, comparable to manual curation.
Conclusions:
- TACT is a valuable web-based tool for automated functional annotation of transcripts.
- The system provides accurate ORF and protein function predictions, reducing the need for extensive manual effort.
- TACT's performance indicates its utility in large-scale transcriptome annotation projects.