Name
Abstract | ||
|---|---|---|
Motivation: Despite the need for separate tools to analyze family-based data, there are only a handful of tools optimized for family-based big data compared to the number of tools available for analyzing population-based data. Results: ONETOOL implements the properties of well-known existing family data analysis tools and recently developed methods in a computationally efficient manner, and so is suitable for analyzing the vast amount of variant data available from sequencing family members, providing a rich choice of analysis methods for big data on families. Availability and implementation: ONETOOL is freely available from http://healthstat.snu.ac.kr/soft ware/onetool/. Contact: won1@snu.ac.kr or pedyang@schmc.ac.kr Supplementary information: Supplementary data are available at Bioinformatics online. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1093/bioinformatics/bty180 | BIOINFORMATICS |
Field | DocType | Volume |
Data science,Data mining,Computer science,Software,Big data | Journal | 34 |
Issue | ISSN | Citations |
16 | 1367-4803 | 1 |
PageRank | References | Authors |
0.36 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yeunjoo E. Song | 1 | 1 | 0.36 |
| Sungyoung Lee | 2 | 2932 | 279.41 |
| Kyungtaek Park | 3 | 1 | 0.36 |
| Robert C. Elston | 4 | 89 | 8.57 |
| Hyeon-Jong Yang | 5 | 1 | 0.36 |
| Sung-Ho Won | 6 | 6 | 4.78 |