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
Roux Simon et al., Metavir 2: new tools for viral metagenome comparison and assembled virome analysis Sequence analysis (applications). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-76
Han Fengming et al., Identification, characterization, and utilization of single copy genes in 29 angiosperm genomes Plant genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-504
Dander Andreas et al., SeqBench: Integrated solution for the management and analysis of exome sequencing data. BMC Research Notes (2014) doi:10.1186/1756-0500-7-43
Zhang Xiaoling et al., Synthesis of 53 tissue and cell line expression QTL datasets reveals master eQTLs Human and rodent genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-532
Kalari R Krishna et al., MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing Transcriptome analysis. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-224
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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