Seq2Ref
Seq2Ref identifies and ranks experimentally characterized and manually curated reference proteins to improve functional interpretation of protein sequences derived from genome sequencing by evaluating homologous relationships.
Key Features:
- BLAST integration: Uses the Basic Local Alignment Search Tool (BLAST) to identify homologous proteins to a query sequence.
- Identification of reference proteins: Detects reference proteins that are experimentally characterized or manually curated among BLAST results.
- Publication reporting: Links identified reference proteins to publications that describe their experimental characterization.
- Plurality-based rating system: Applies a plurality-based rating to evaluate homologous relationships and rank the relevance of reference proteins to the query.
Scientific Applications:
- Functional annotation of uncharacterized proteins: Facilitates transfer of experimentally supported functional information to uncharacterized protein sequences.
- Large-scale dataset interpretation: Supports prioritization and interpretation of protein sequences in large genomic and proteomic datasets.
- Support for genomics, proteomics, and systems biology: Provides experimentally grounded reference links useful for hypothesis generation and system-level analyses.
Methodology:
Sequence querying of a protein sequence is followed by BLAST searches to find homologous sequences; experimentally characterized or manually curated reference proteins are identified among BLAST hits; a plurality-based rating system ranks reference relevance; and reference proteins are linked to publications reporting their experimental characterizations.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Prediction and recognition
Inputs
Publications
Li W, Cong Q, Kinch LN, Grishin NV. Seq2Ref: a web server to facilitate functional interpretation. BMC Bioinformatics. 2013;14(1). doi:10.1186/1471-2105-14-30. PMID:23356573. PMCID:PMC3573977.