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

Autor: 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
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: PLoS ONE, Vol 12, Iss 4, p e0175310 (2017)
Druh dokumentu: article
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0175310
Popis: 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.
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