Provides molecular sequence records to help locate gene and protein data.
Tutorial and training materials by OpenHelix
|The RefSeq project, developed and maintained by the National Center for Biotechnology Information (NCBI), provides collected, curated, and consistent non-redundant reference molecular sequence records that help researchers locate important gene and protein data. Processes established by the RefSeq team generate reference sequence sets for many species. RefSeq records link to primary source material, appropriate literature, and additional information from other biomedical resources. Expanded project directions offer more data types. RefSeq, and similar projects with ties to RefSeq, continue to provide quality, reviewed, reference sequences for a variety of projects. RefSeq data can be found in many bioinformatics tools.|
- The history and framework for RefSeq
- How to find and examine RefSeq data at NCBI
- The composition of a typical RefSeq record
- About other project directions and related projects
Recent BioMed Central research articles citing this resource
Hooper E Joan et al., A survey of software for genome-wide discovery of differential splicing in RNA-Seq data. Human Genomics (2014) doi:10.1186/1479-7364-8-3
Wang Tao et al., dCLIP: a computational approach for comparative CLIP-seq analyses. Genome Biology (2014) doi:10.1186/gb-2014-15-1-r11
Wood E Derrick et al., Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biology (2014) doi:10.1186/gb-2014-15-3-r46
Tang Ruqi et al., Candidate genes and functional noncoding variants identified in a canine model of obsessive-compulsive disorder. Genome Biology (2014) doi:10.1186/gb-2014-15-3-r25
Meynert M Alison et al., Variant detection sensitivity and biases in whole genome and exome sequencing Sequence analysis (methods). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-247
More about the resource:
The RefSeq project coordinated by NCBI has been providing reference sequence data for more than a decade. This crucial data is found in resources throughout the bioinformatics ecosystem in an extensive range of tools and projects. RefSeq contributes to other reference sequence projects such as RefSeqGene and Locus Reference Genome. Familiarity with RefSeq processes and records will help users to effectively find and understand key features of molecular sequences.
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