Building online genomics applications using BioPyramid
Author(s) -
Liam Stephenson,
Yoshua Wakeham,
Nick Seidenman,
Jarny Choi
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty207
Subject(s) - python (programming language) , computer science , javascript , annotation , scalability , visualization , json , world wide web , software , data science , programming language , data mining , database , artificial intelligence
BioPyramid is a Python package, which serves as a scaffold for building an online application for the exploration of gene expression data. It is designed for bioinformaticians wishing to quickly share transformed data and interactive analyses with collaborators. Current R-based tools similarly address the need to quickly share 'omics'-data in an exploratory format, but these are generally small-scale, single-dataset solutions. Biopyramid is written in Python pyramid framework and scalable to address longer-term or more complex projects. It contains a number of components designed to reduce the time and effort in building such an application from scratch, including gene annotation, dataset models and visualization tools.
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