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SILVA
SILVA is a comprehensive, quality-controlled web resource for up-to-date aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains alongside supplementary online services. In addition to data products, SILVA provide
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Xenopus laevis and tropicalis biology and genomics resource
Xenbase is the model organism database for Xenopus laevis and X. (Silurana) tropicalis which was created to improve knowledge of developmental and disease processes. Through curation and automated data provisioning from various sources, Xenbase aims
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Clinical Knowledgebase
The Jackson Laboratory Clinical Knowledgebase (CKB) is a semi-automated/manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and clinical trials related to oncology. CKB not only contains curren
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CRAM
CRAM is a sequencing read file format that is highly space efficient by using reference-based compression of sequence data and offers both lossless and lossy modes of compression. Building on early proof-of-principle for reference-based compression (
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BioXpress
BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.
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Minimal Information about a high throughput SEQuencing Experiment
MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guideline
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The SEQanswers wiki
Wiki on all aspects of next-generation genomics. The SEQanswers wiki is a Semantic MediWiki (SMW) site that is edited and updated by the members of the SEQanswers community. The wiki provides an extensive catalogue of manually categorized analysis to
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Minimum Information for Reporting Next Generation Sequencing Genotyping
MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genom
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Stem Cell Commons
The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with to
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Bioconductor
Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.
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DDBJ Sequence Read Archive
DDBJ Sequence Read Archive (DRA) is an archive database for output data generated by next-generation sequencing machines including Roche 454 GS System®, Illumina Genome Analyzer®, Applied Biosystems SOLiD® System, and others. DRA is a member of the I
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National Omics Data Encyclopedia
The National Omics Data Encyclopedia (NODE) is big data library with complete and integrative data storage, safe and efficiency-guaranteed data management as well as comprehensive and user-friendly data service functions. NODE stores raw sequence dat
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Histoimmunogenetics Markup Language
Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, com
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International HLA and Immunogenetics Workshop XML
International HLA and Immunogenetics Workshop XML (IHIW XML) is intended as a potentially general-purpose XML format for exchanging HLA genotyping data (HLA genotypes and associated consensus sequences) and associated meta-data generated using Next G
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TogoVar
TogoVar (NBDC's integrated database of Japanese genomic variation) is a database that has collected and organized genome sequence differences between individuals (variants) in the Japanese population and disease information associated with them. Togo
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*ReputationScore indicates how established a given datasource is. Find out more.