Name
Abstract | ||
|---|---|---|
The dramatically decreasing costs of DNA sequencing have triggered more than a million humans to have their genotypes sequenced. Moreover, these individuals increasingly make their genomic data publicly available, thereby creating privacy threats for themselves and their relatives because of their DNA similarities. More generally, an entity that gains access to a significant fraction of sequenced ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCBB.2018.2859380 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | Field | DocType |
Genomics,Sociology,Statistics,Bioinformatics,Privacy,DNA,Sequential analysis | Genome,Population,Sample (statistics),Computer science,Homogeneous,Data sharing,Genomics,Artificial intelligence,DNA sequencing,Computational biology,Machine learning | Journal |
Volume | Issue | ISSN |
15 | 5 | 1545-5963 |
Citations | PageRank | References |
1 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Backes | 1 | 2801 | 163.28 |
| Pascal Berrang | 2 | 33 | 5.16 |
| Mathias Humbert | 3 | 194 | 16.18 |
| Xiaoyu Shen | 4 | 46 | 8.93 |
| Verena Wolf | 5 | 22 | 7.27 |