AlleleSeq: analysis of allele‐specific expression and binding in a network framework-Reference-Cited by-同舟云学术

AlleleSeq: analysis of allele‐specific expression and binding in a network framework

Published:2011-01 Issue:1 Volume:7 Page:522
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Rozowsky Joel¹²,Abyzov Alexej¹²,Wang Jing²,Alves Pedro²,Raha Debasish³,Harmanci Arif¹²,Leng Jing²,Bjornson Robert⁴⁵,Kong Yong⁵,Kitabayashi Naoki⁶,Bhardwaj Nitin¹²,Rubin Mark⁶,Snyder Michael⁷,Gerstein Mark¹²⁴

Affiliation:

1. Program in Computational Biology and Bioinformatics, Yale University New Haven CT USA

2. Department of Molecular Biophysics and Biochemistry, Yale University New Haven CT USA

3. Department of Molecular, Cellular, and Developmental Biology, Yale University New Haven CT USA

4. Department of Computer Science, Yale University New Haven CT USA

5. Keck Biotechnology Resource Laboratory, Yale University New Haven CT USA

6. Department of Pathology and Laboratory Medicine, Weill Cornell Medical Center New York NY USA

7. Department of Genetics, Stanford University School of Medicine Stanford CA USA

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1038/msb.2011.54

Reference38 articles.

1. CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing

2. Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition

3. Global Identification of Human Transcribed Sequences with Genome Tiling Arrays

4. Integration of biological networks and gene expression data using Cytoscape

5. Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data

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