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Mendeley readers
| Chapter title |
Array-Based Comparative Genomic Hybridization (aCGH).
|
|---|---|
| Chapter number | 15 |
| Book title |
Cancer Cytogenetics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6703-2_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6701-8, 978-1-4939-6703-2
|
| Authors |
Chengsheng Zhang M.D., Ph.D., Eliza Cerveira, Mallory Romanovitch, Qihui Zhu, Chengsheng Zhang |
| Editors |
Thomas S.K. Wan |
| Abstract |
Copy number variations (CNVs) in the genomes have been suggested to play important roles in human evolution, genetic diversity, and disease susceptibility. A number of assays have been developed for the detection of CNVs, including fluorescent in situ hybridization (FISH), array-based comparative genomic hybridization (aCGH), PCR-based assays, and next-generation sequencing (NGS). In this chapter, we describe a microarray method that has been used for the detection of genome-wide CNVs, loss of heterozygosity (LOH), and uniparental disomy (UPD) associated with constitutional and neoplastic disorders. |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Slovenia | 1 | <1% |
| Egypt | 1 | <1% |
| Unknown | 148 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 33 | 22% |
| Student > Master | 24 | 16% |
| Researcher | 21 | 14% |
| Student > Ph. D. Student | 20 | 13% |
| Student > Postgraduate | 10 | 7% |
| Other | 20 | 13% |
| Unknown | 24 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 30% |
| Biochemistry, Genetics and Molecular Biology | 34 | 22% |
| Medicine and Dentistry | 27 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Computer Science | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 31 | 20% |