Oqtans: a Galaxy-integrated workflow for quantitative transcriptome analysis from NGS Data

BMC Bioinformatics

Oral Presentation

Sebastian J Schultheiss¹  Jonas Behr¹  Gunnar Rätsch¹  Regina Bohnert¹  André Kahles¹  Philipp Drewe¹  Pramod Mudrakarta¹  Vipin T Sreedharan¹  Géraldine Jean¹  Nico Görnitz²  Georg Zeller³ 

[1] Machine Learning in Biology Group, Friedrich Miescher Laboratory of the Max Planck Society, 72076, Tübingen, Germany;Machine Learning in Biology Group, Friedrich Miescher Laboratory of the Max Planck Society, 72076, Tübingen, Germany;Department of Software Engineering and Theoretical Computer Science, Technical University Berlin, 10578, Berlin, Germany;Machine Learning in Biology Group, Friedrich Miescher Laboratory of the Max Planck Society, 72076, Tübingen, Germany;Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117, Heidelberg, Germany;

关键词: Cloud Computing;    Virtual Machine;    Differential Expression Analysis;    Read Mapping;    Cloud Computing Environment;   

DOI  :  10.1186/1471-2105-12-S11-A7

来源: Springer

【 授权许可】

CC BY   
© Schultheiss et al; licensee BioMed Central Ltd. 2011