Description
RNA-sequencing analysis of data has performed to understand different biological features and behaviour. The research team generated a workflow based on a pipeline built to satisfy many experiments using Python 3.4, third party-libraries (numpy, pysam, matplotlib) and some external tools as segemehl and R. The running time heavily depends on the size and type of data. Usually takes some hour to some day. The workflow will be published as open source tool soon. Indeed, it’s a very common approach.
Acceptable Use Policy
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This Acceptable Use Policy applies to all members of [VoName] Virtual Organisation,
hereafter referred to as the VO, with reference to use of the European Grid Infrastructure (EGI),
hereafter referred to as the Grid.
The highthroughputseq community VO manager owns and gives authority to this policy.
Goal and description of the highthroughputseq.egi.eu VO
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The highthroughputseq.egi.eu VO aims to support community working with sequencing data and running simulations requiring big amount of resource capabilities in term of memory and number of cpu cores.
Members and Managers of the VO agree to be bound by the Grid Acceptable Usage Rules, VO Security Policy and other relevant Grid Policies, and to use the Grid only in the furtherance of the stated goal of the VO.