SIRW

SIRW indexes and retrieves protein and nucleotide sequences from flat-file databases to enable keyword-based retrieval and motif pattern searches for sequence analysis.


Key Features:

  • Database Parsing and Indexing: Parses and indexes diverse flat-file protein and nucleotide databases using the Simple Indexing and Retrieval System (SIR).
  • Keyword Search Capability: Performs keyword-based searches against indexed databases for targeted retrieval of protein and nucleotide sequences.
  • Sequence Motif Analysis: Supports motif pattern searches within selected sequences to identify conserved regions and functional domains.

Scientific Applications:

  • Gene Function Prediction: Combines keyword retrieval and motif detection to assist in predicting gene function from sequence data.
  • Evolutionary Biology Research: Enables identification of conserved motifs and sequence patterns useful for comparative and evolutionary analyses.
  • Structural Genomics: Facilitates discovery of sequence motifs and functional domains relevant to structural genomics studies.

Methodology:

Indexes flat-file protein and nucleotide databases using the Simple Indexing and Retrieval System (SIR) to produce searchable indexes that support keyword searches and motif pattern searches.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
3/24/2017
Last Updated:
11/25/2024

Operations

Publications

Ramu C. SIRW: a web server for the Simple Indexing and Retrieval System that combines sequence motif searches with keyword searches. Nucleic Acids Research. 2003;31(13):3771-3774. doi:10.1093/nar/gkg546. PMID:12824415. PMCID:PMC168953.

Documentation