AlleleSeq
From GersteinInfo
(Difference between revisions)
(→General outline of pipeline) |
|||
Line 9: | Line 9: | ||
actual process. | actual process. | ||
- | 1) '''Pre-processing - diploid genome construction using ''vcf2diploid''''' | + | 1) '''Pre-processing - diploid genome construction using ''vcf2diploid''''' <br> |
In the Rozowsky ''et al.'' (2011) paper, the | In the Rozowsky ''et al.'' (2011) paper, the | ||
pre-processing step separate (phase) the child's diploid genome into its parental | pre-processing step separate (phase) the child's diploid genome into its parental | ||
haplotypes based on the sequences of the parents. | haplotypes based on the sequences of the parents. | ||
- | 2) '''AlleleSeq pipeline - mapping and statistical testing using PIPELINE.mk package''' | + | 2) '''AlleleSeq pipeline - mapping and statistical testing using PIPELINE.mk package''' <br> |
(a) Reads from ChIP-seq and RNA-seq experiments are aligned and mapped to both | (a) Reads from ChIP-seq and RNA-seq experiments are aligned and mapped to both | ||
haplotype genomes. | haplotype genomes. | ||
Line 20: | Line 20: | ||
(b) Then for each SNV position with mapped reads, we compare the allele | (b) Then for each SNV position with mapped reads, we compare the allele | ||
frequencies observed in the two parental haplotypes. | frequencies observed in the two parental haplotypes. | ||
- | |||
=vcf2diploid= | =vcf2diploid= |
Revision as of 15:52, 7 June 2013
Contents |
General outline of pipeline
The basic goal of the pipeline is to take a large collection of reads generated from ChIP-seq or RNA-seq experiments associated with an individual and detect single nucleotide variants (SNVs) that correspond to significantly skewed number of reads. To do this, the pipeline starts with a preprocessing step, before the actual process.
1) Pre-processing - diploid genome construction using vcf2diploid
In the Rozowsky et al. (2011) paper, the
pre-processing step separate (phase) the child's diploid genome into its parental
haplotypes based on the sequences of the parents.
2) AlleleSeq pipeline - mapping and statistical testing using PIPELINE.mk package
(a) Reads from ChIP-seq and RNA-seq experiments are aligned and mapped to both
haplotype genomes.
(b) Then for each SNV position with mapped reads, we compare the allele
frequencies observed in the two parental haplotypes.