Nucleic Acids Research · 2010 · 708 citations · 9 references
Life SciencesBioinformaticsMolecular BiologyGenomic Data AnalysisGenomicsSequence AnalysisDna SequencingGenome SequencingGenomic DatabasesNucleic Acid SequencingSequence AlignmentSequence Similarity SearchData Submission PipelinesGenome Browser InfrastructureLarge-scale Genomic RepositoriesNucleotide Sequence SearchSequence Repository ConstructionSequence Retrieval SystemsSequence SimilaritySimilarity Search
The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) is Europe's primary nucleotide‑sequence repository. ENA aims to support and promote nucleotide sequencing research by providing data submission, archive, search, and download services, and this article outlines these services and major 2010 improvements. ENA comprises the Sequence Read Archive, the Trace Archive, and EMBL‑Bank, and the article details these services and major 2010 enhancements. The article reports extended EMBL‑Bank and SRA‑data submission services, expanded ENA Browser functionality, support for submitting data to the European Genome‑phenome Archive through SRA, and the launch of a new sequence similarity search service.
The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena ) is Europe's primary nucleotide-sequence repository. The ENA consists of three main databases: the Sequence Read Archive (SRA), the Trace Archive and EMBL-Bank. The objective of ENA is to support and promote the use of nucleotide sequencing as an experimental research platform by providing data submission, archive, search and download services. In this article, we outline these services and describe major changes and improvements introduced during 2010. These include extended EMBL-Bank and SRA-data submission services, extended ENA Browser functionality, support for submitting data to the European Genome-phenome Archive (EGA) through SRA, and the launch of a new sequence similarity search service.
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The Sequence Alignment/Map format and SAMtools
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Velvet: Algorithms for de novo short read assembly using de Bruijn graphs
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