CNVeM: Copy Number Variation Detection Using Uncertainty of Read Mapping-Reference-Cited by-同舟云学术

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CNVeM: Copy Number Variation Detection Using Uncertainty of Read Mapping

Published:2013-03 Issue:3 Volume:20 Page:224-236
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Wang Zhanyong¹,Hormozdiari Farhad¹,Yang Wen-Yun¹,Halperin Eran²³,Eskin Eleazar¹

Affiliation:

1. Computer Science Department, University of California Los Angeles, Los Angeles, CA.

2. Blavatnik School of Computer Science and the Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.

3. International Computer Science Institute, Berkeley, CA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2012.0258

Reference22 articles.

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

2. Personalized copy number and segmental duplication maps using next-generation sequencing

3. Epidermal Growth Factor Receptor Gene and Protein and Gefitinib Sensitivity in Non–Small-Cell Lung Cancer

4. Methods and strategies for analyzing copy number variation using DNA microarrays

5. CNVDetector: locating copy number variations using array CGH data

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ENLIGHTENMENT: A Scalable Annotated Database of Genomics and NGS-Based Nucleotide Level Profiles;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2024-01

2. CNVABNN: An AdaBoost algorithm and neural networks-based detection of copy number variations from NGS data;Computational Biology and Chemistry;2022-08

3. GenSeg and MR-GenSeg: A Novel Segmentation Algorithm and its Parallel MapReduce Based Approach for Identifying Genomic Regions With Copy Number Variations;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2022-01-01

4. GIP: an open-source computational pipeline for mapping genomic instability from protists to cancer cells;Nucleic Acids Research;2021-12-20

5. Current status of structural variation studies in plants;Plant Biotechnology Journal;2021-07-20

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