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Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources
Published on: September 3, 2009
GeneReporter--sequence-based document retrieval and annotation
Annekathrin Bartsch1, Boyke Bunk, Isam Haddad
1Institute for Microbiology, Technische Universität Braunschweig, Braunschweig, Germany.
Bioinformatics (Oxford, England)
|February 12, 2011
Summary
GeneReporter is a web tool that aids in genome annotation and literature retrieval for protein-coding sequences. It provides functional data and PubMed references by analyzing homologous sequences.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- Manual genome annotation and document retrieval are crucial for understanding protein-coding sequences.
- Accessing comprehensive functional information and relevant literature for genes can be challenging.
Purpose of the Study:
- To introduce GeneReporter, a web tool designed to streamline the process of obtaining functional information and literature for protein-coding sequences.
- To support researchers in manual genome annotation and efficient document retrieval.
Main Methods:
- GeneReporter utilizes UniProt entries of homologous sequences to extract query words for PubMed reference detection.
- It integrates data from protein families, domains, cofactors, structure, function, cellular localization, and metabolic contribution.
- The tool leverages SOAP-based web services from the European Bioinformatics Institute (EBI) and the National Center for Biotechnology Information (NCBI).
Main Results:
- GeneReporter provides a centralized platform for accessing diverse functional data related to protein-coding sequences.
- It facilitates the identification of relevant scientific literature through automated PubMed reference retrieval.
- The tool enhances the efficiency of genome annotation by consolidating essential information.
Conclusions:
- GeneReporter serves as a valuable resource for researchers involved in genomics and molecular biology.
- The web tool simplifies the discovery of functional insights and scientific literature for protein-coding sequences.
- Its integration with major bioinformatics databases enhances its utility for biological research.
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