Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell

Yuriy Orlov; Han Xu; Dmitri Afonnikov; Bing Lim; Jian-Chien Heng; Ping Yuan; Ming Chen; Junli Yan; Neil Clarke; Nina Orlova; Mikael Huss; Konstantin Gunbin; Nikolay Podkolodnyy; Huck-Hui Ng

doi:10.1515/jib-2012-211

Startseite Lebenswissenschaften Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell

Artikel Open Access

Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell

, , , , , , , , , , , , und

Veröffentlicht/Copyright: 18. Oktober 2016

Artikel downloaden (PDF)

Veröffentlicht von

Veröffentlichen auch Sie bei De Gruyter Brill

Manuskript einreichen Informationen für Autor*innen

Aus der Zeitschrift Journal of Integrative Bioinformatics Band 9 Heft 2

MLA
APA
Harvard
Chicago
Vancouver

MLA
APA
Harvard
Chicago
Vancouver

Orlov, Yuriy, Xu, Han, Afonnikov, Dmitri, Lim, Bing, Heng, Jian-Chien, Yuan, Ping, Chen, Ming, Yan, Junli, Clarke, Neil, Orlova, Nina, Huss, Mikael, Gunbin, Konstantin, Podkolodnyy, Nikolay and Ng, Huck-Hui. "Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell" Journal of Integrative Bioinformatics, vol. 9, no. 2, 2012, pp. 88-100. https://doi.org/10.1515/jib-2012-211

Orlov, Y., Xu, H., Afonnikov, D., Lim, B., Heng, J., Yuan, P., Chen, M., Yan, J., Clarke, N., Orlova, N., Huss, M., Gunbin, K., Podkolodnyy, N. & Ng, H. (2012). Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell. Journal of Integrative Bioinformatics, 9(2), 88-100. https://doi.org/10.1515/jib-2012-211

Orlov, Y., Xu, H., Afonnikov, D., Lim, B., Heng, J., Yuan, P., Chen, M., Yan, J., Clarke, N., Orlova, N., Huss, M., Gunbin, K., Podkolodnyy, N. and Ng, H. (2012) Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell. Journal of Integrative Bioinformatics, Vol. 9 (Issue 2), pp. 88-100. https://doi.org/10.1515/jib-2012-211

Orlov, Yuriy, Xu, Han, Afonnikov, Dmitri, Lim, Bing, Heng, Jian-Chien, Yuan, Ping, Chen, Ming, Yan, Junli, Clarke, Neil, Orlova, Nina, Huss, Mikael, Gunbin, Konstantin, Podkolodnyy, Nikolay and Ng, Huck-Hui. "Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell" Journal of Integrative Bioinformatics 9, no. 2 (2012): 88-100. https://doi.org/10.1515/jib-2012-211

Orlov Y, Xu H, Afonnikov D, Lim B, Heng J, Yuan P, Chen M, Yan J, Clarke N, Orlova N, Huss M, Gunbin K, Podkolodnyy N, Ng H. Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell. Journal of Integrative Bioinformatics. 2012;9(2): 88-100. https://doi.org/10.1515/jib-2012-211

Kopie

In die Zwischenablage kopiert

BibTeX EndNote RIS

Published Online: 2016-10-18

Published in Print: 2012-6-1

Artikel in diesem Heft

IDPredictor: predict database links in biomedical database
Analysis of high-throughput plant image data with the information system IAP
Oncology In Vivo Data Integration for Hypothesis Generation
Knowledge Enrichment Analysis for Human Tissue- Specific Genes Uncover New Biological Insights
Detection of Cardiac Geometry via Difference Intensity of Echocardiogram Images
Nutrilyzer: A Tool for Deciphering Atomic Stoichiometry of Differentially Expressed Paralogous Proteins
Integrated simultaneous analysis of different biomedical data types with exact weighted bi-cluster editing
Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm
Predicting breast cancer chemotherapeutic response using a novel tool for microarray data analysis
Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell
Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud
Network Expansion and Pathway Enrichment Analysis towards Biologically Significant Findings from Microarrays

Zeitschrift durchsuchen In dieser Zeitschrift suchen

https://doi.org/10.1515/jib-2012-211

Creative Commons

BY-NC-ND 4.0

Artikel in diesem Heft

IDPredictor: predict database links in biomedical database
Analysis of high-throughput plant image data with the information system IAP
Oncology In Vivo Data Integration for Hypothesis Generation
Knowledge Enrichment Analysis for Human Tissue- Specific Genes Uncover New Biological Insights
Detection of Cardiac Geometry via Difference Intensity of Echocardiogram Images
Nutrilyzer: A Tool for Deciphering Atomic Stoichiometry of Differentially Expressed Paralogous Proteins
Integrated simultaneous analysis of different biomedical data types with exact weighted bi-cluster editing
Transcription Network Analysis by A Sparse Binary Factor Analysis Algorithm
Predicting breast cancer chemotherapeutic response using a novel tool for microarray data analysis
Computer and Statistical Analysis of Transcription Factor Binding and Chromatin Modifications by ChIP-seq data in Embryonic Stem Cell
Microbase2.0: A Generic Framework for Computationally Intensive Bioinformatics Workflows in the Cloud
Network Expansion and Pathway Enrichment Analysis towards Biologically Significant Findings from Microarrays