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.
| Original language | English |
|---|---|
| Pages (from-to) | 2851-2853 |
| Number of pages | 3 |
| Journal | Bioinformatics |
| Volume | 34 |
| Issue number | 16 |
| DOIs | |
| State | Published - 2018.08.15 |
Fingerprint
Dive into the research topics of 'ONETOOL for the analysis of family-based big data'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver