Biological Big Bytes: Integrative Analysis of Large Biological Datasets-Reference-Cited by-同舟云学术

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Biological Big Bytes: Integrative Analysis of Large Biological Datasets

Published:2017-09-13 Issue:3 Volume:14 Page:
ISSN:1613-4516
Container-title:Journal of Integrative Bioinformatics
language:
Short-container-title:

Author:

Chen Ming¹,Harrison Andrew²,Shanahan Hugh³,Orlov Yuriy⁴⁵

Affiliation:

1. Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, P.R. China

2. Department of Mathematical Sciences, University of Essex, Essex, England, UK

3. Department of Computer Science, Royal Holloway, University of London, Egham, England, UK

4. Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia

5. Novosibirsk State University, Novosibirsk, Russia

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Link

https://www.degruyter.com/document/doi/10.1515/jib-2017-0052/pdf

Reference14 articles.

1. Computer analysis of glioma transcriptome profiling: alternative splicing events;J Integr Bioinform,2017

2. Computational approaches to identify genetic interactions for cancer therapeutics;J Integr Bioinform,2017

3. MUSTv2: an improved de novo detection program for recently active miniature inverted repeat transposable elements (MITEs);J Integr Bioinform,2017

4. RNA-Seq mouse brain regions expression data analysis: focus on ApoE functional network;J Integr Bioinform,2017

5. A novel method to detect bias in Short Read NGS RNA-seq data;J Integr Bioinform,2017

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