Difference between revisions of "Research Data Management"

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* Publish in Oxford Bioinformatics [https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btv061 here].
 
* Publish in Oxford Bioinformatics [https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btv061 here].
  
== Open Issues and Available Solutions =
+
== Open Issues and Available Solutions ==
  
 
* From the Frontiers in genetics journal: available [http://journal.frontiersin.org/article/10.3389/fgene.2016.00075/full here].
 
* From the Frontiers in genetics journal: available [http://journal.frontiersin.org/article/10.3389/fgene.2016.00075/full here].

Latest revision as of 23:13, 18 June 2017

Introduction

The generation of digital genomic data has been expanding at ever-increasing rates which has resulted in what seems a unordered flood of datasets unless some discipline of data management and administration can be brought to bear.

This page aims to collect all relevant data on the topic particularly in its realtion to Next Generation Sequencing (NGS) data which has been particularly responsible for the glut of genomic data that we are now experiencing.

At the outset, there is a difference between data generated from samples in the lab and the data processing that then subsequently i

Literature Review

There are some overlaps between tighly integrated pipleines and data management per se, so this setion will include both.

Quick NGS

  • Published in BMC Genomics here.

Omics Pipe

  • Publish in Oxford Bioinformatics here.

Open Issues and Available Solutions

  • From the Frontiers in genetics journal: available here.