Views provided by UsageCounts
PopDel is lightweight tool for calling and genotyping deletions (of a few hundred base-pairs and upwards) in short read paired-end data. Its main feature is the efficient processing of many samples in a single joint-calling process. Cohorts of 50,000 or more BAM-files are no problem for PopDel. It works by first creating a small insert-size profile of every BAM file. Then, in the calling step, all profiles are jointly processed to generate the deletion calls in a likelihood based approach and genotype every sample. The results are presented in standard VCF-4.2 format. PopDel is designed for short read paired end data of germline WGS data of diploid organisms (like human) only and is therefore unsuited for the analysis of WES data or somatic variants in cancer. PopDel's GitHub repository: https://github.com/kehrlab/PopDel
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

Views provided by UsageCounts