Rsrc
J-GLOBAL ID：202010011436465664
Research Resource code：NBDC02505
Update date：Mar. 10, 2020
NGS-QC: Next Generation Sequencing Quality Control Generator
NGS-QC: Next Generation Sequencing Quality Control Generator
Owning Organization：
-
Institute of Genetics and Molecular and Cellular Biology
Resource classification：
Data,Database
Tag (subject) (5)：
Genome/Gene
, Epigenetics
, DNA
, RNA
, Protein
Tag (data type) (2)：
Expression
, Interaction/Pathway
Species (10)：
Arabidopsis thaliana (NCBI Taxonomy ID: 3702)
, Caenorhabditis elegans (NCBI Taxonomy ID: 6239)
, Danio rerio (NCBI Taxonomy ID: 7955)
, Drosophila melanogaster (NCBI Taxonomy ID: 7227)
, Gallus gallus (NCBI Taxonomy ID: 9031)
, Homo sapiens (NCBI Taxonomy ID: 9606)
, Mus musculus (NCBI Taxonomy ID: 10090)
, Pan troglodytes (NCBI Taxonomy ID: 9598)
, Rattus norvegicus (NCBI Taxonomy ID: 10116)
, Saccharomyces cerevisiae (NCBI Taxonomy ID: 4932)
Overview：
NGS-QC database is the first QC indicator database covering the largest collection of ChIP-seq and enrichment-related NGS datasets. Most of the current certified entries are part of the public repository GEO. Database can be searched based on Organism, Target Molecule, QC grade, etc. A scatter plot provides the user a summary and exact range of the quality descriptors of all the experiments that come under their searched queries.
Users can evaluate the quality of their own NGS dataset relative to the datasets present in the entire database through the Galaxy platform instance NGS-QC Generator.
Other tools like LOGIQA hosting quality scores for long-range genome interaction assays (e.g. Hi-C), and QC Genomics providing a central access to the largest collection of genomic data are also available.
Source：
NBDC
Record maintainer：
Integbio Database Catalog
Record license：
Creative Commons CC0 license
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