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A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.
| Publication Type | Journal Article |
| Authors | Li, H. |
| Abstract | Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. multi-sample low-coverage sequencing or somatic mutation discovery). These applications press for the development of new methods for analyzing sequence data with uncertainty. |
| Year of Publication | 2011 |
| Journal | Bioinformatics (Oxford, England) |
| Volume | 27 |
| Issue | 21 |
| Pages | 2987-93 |
| Date Published (YYYY/MM/DD) | 2011/11/01 |
| ISSN Number | 1367-4803 |
| DOI | 10.1093/bioinformatics/btr509 |
| PubMed | http://www.ncbi.nlm.nih.gov/pubmed/21903627?dopt=Abstract |




