Measuring DNA Copy Number Variation Using High-Density Methylation Microarrays-Reference-Cited by-同舟云学术

Measuring DNA Copy Number Variation Using High-Density Methylation Microarrays

Published:2019-04 Issue:4 Volume:26 Page:295-304
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Cho Soonweng¹,Kim Hyun-Seok²,Zeiger Martha A.³,Umbricht Christopher B.⁴,Cope Leslie M.⁵

Affiliation:

1. Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland.

2. Department of Medicine, Rutgers New Jersey Medical School, New Brunswick, New Jersey.

3. Department of Surgery, The University of Virginia School of Medicine, Charlottesville, Virginia.

4. Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland.

5. Department of Oncology Bioinformatics, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland.

Publisher

Mary Ann Liebert Inc

Subject

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

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0143

Reference21 articles.

1. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays

2. Comparison of the Agilent, ROMA/NimbleGen and Illumina platforms for classification of copy number alterations in human breast tumors

3. Comprehensive molecular portraits of human breast tumours

4. Comprehensive genomic characterization of squamous cell lung cancers

5. Integrated Genomic Characterization of Papillary Thyroid Carcinoma

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