Views provided by UsageCounts
A simple script for counting of a number of haplotypes formed by pre-selected SNPs in long-read sequencing data. The number of haplotypes is counted per 1kb in individual long sequencing reads aligned to a reference, based on the position, reference and alternative alleles of reliable SNPs called on short-read sequencing data Required input files: - processed long sequencing reads aligned to the reference and split per chromosome/contig into individual files - the names must correspond with the respective vcf files - vcf files with reliable biallelic SNPs split per chromosome/contig into individual files - the names must correspond with the respective bam files - file with names for each chromosome/contig - has to be the same as names for bam and vcf files Required software: - Java version 1.8 or higher - downloaded and compiled sam2tsv.jar from jvarkit https://github.com/lindenb/jvarkit
This work was supported by Erwin Schrödinger fellowship from Austrian Science Fund (FWF) (project number J3692-B22)
haplotype counting, long read sequencing, SNP, bash
haplotype counting, long read sequencing, SNP, bash
| 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). | 0 | |
| 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 | 2 |

Views provided by UsageCounts