Literature DB >> 23756888

Managing large SNP datasets with SNPpy.

Faheem Mitha1.   

Abstract

Using relational databases to manage SNP datasets is a very useful technique that has significant advantages over alternative methods, including the ability to leverage the power of relational databases to perform data validation, and the use of the powerful SQL query language to export data. SNPpy is a Python program which uses the PostgreSQL database and the SQLAlchemy Python library to automate SNP data management. This chapter shows how to use SNPpy to store and manage large datasets.

Mesh:

Year:  2013        PMID: 23756888     DOI: 10.1007/978-1-62703-447-0_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  dbVOR: a database system for importing pedigree, phenotype and genotype data and exporting selected subsets.

Authors:  Robert V Baron; Yvette P Conley; Michael B Gorin; Daniel E Weeks
Journal:  BMC Bioinformatics       Date:  2015-03-18       Impact factor: 3.169

2.  TheSNPpit-A High Performance Database System for Managing Large Scale SNP Data.

Authors:  Eildert Groeneveld; Helmut Lichtenberg
Journal:  PLoS One       Date:  2016-10-25       Impact factor: 3.240

  2 in total

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