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SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata.

Authors :
Benjamin C Hitz
Laurence D Rowe
Nikhil R Podduturi
David I Glick
Ulugbek K Baymuradov
Venkat S Malladi
Esther T Chan
Jean M Davidson
Idan Gabdank
Aditi K Narayana
Kathrina C Onate
Jason Hilton
Marcus C Ho
Brian T Lee
Stuart R Miyasato
Timothy R Dreszer
Cricket A Sloan
J Seth Strattan
Forrest Y Tanaka
Eurie L Hong
J Michael Cherry
Source :
PLoS ONE, Vol 12, Iss 4, p e0175310 (2017)
Publication Year :
2017
Publisher :
Public Library of Science (PLoS), 2017.

Abstract

The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a comprehensive catalog of functional elements initiated shortly after the completion of the Human Genome Project. The current database exceeds 6500 experiments across more than 450 cell lines and tissues using a wide array of experimental techniques to study the chromatin structure, regulatory and transcriptional landscape of the H. sapiens and M. musculus genomes. All ENCODE experimental data, metadata, and associated computational analyses are submitted to the ENCODE Data Coordination Center (DCC) for validation, tracking, storage, unified processing, and distribution to community resources and the scientific community. As the volume of data increases, the identification and organization of experimental details becomes increasingly intricate and demands careful curation. The ENCODE DCC has created a general purpose software system, known as SnoVault, that supports metadata and file submission, a database used for metadata storage, web pages for displaying the metadata and a robust API for querying the metadata. The software is fully open-source, code and installation instructions can be found at: http://github.com/ENCODE-DCC/snovault/ (for the generic database) and http://github.com/ENCODE-DCC/encoded/ to store genomic data in the manner of ENCODE. The core database engine, SnoVault (which is completely independent of ENCODE, genomic data, or bioinformatic data) has been released as a separate Python package.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
12
Issue :
4
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.f8bf0b218bf4681a26f6c1f90ae58cd
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0175310