https://ftp.ncbi.nlm.nih.gov/geo/samples/GSM2533nnn/GSM2533818/suppl/GSM2533818%5Fgc%5Fes1.tar.gz
Data processing |
Library strategy: HiC
Hi-C data was processed using the Cwalks pipeline (http://compgenomics.weizmann.ac.il/tanay/?page_id=690). In brief, raw sequencing reads were mapped independently to the mm10 reference genome using Bowtie2 in local alignment mode. The uniquely mapped (MAPQ > 36) reads were translated into a pair of fragment-ends (fends) by associating each read with its downstream fend. PCR duplicates and reads mapping to the same restriction fragment were excluded. supplementary_files_format_and_content:Each processed file represent pairwise information of the observed genome contacts and can be further analyzed using the "Shaman" pipeline (https://bitbucket.org/tanaylab/shaman). assembly: mm10 |
Additional HiC data for non-muscle tissue is available in GEO that I would like to look at for comparative, but it is not in hic format.
My second question is, is there a way to take the results of 4 HiC embryonic stem cell runs, numbered in the above project 1-4, and combine the data in order to achieve a finer resolution. (Perhaps I should be writing to the paper authors about this.)
Matthew Speir
UCSC Genome Browser, User Support
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Me: Additional HiC data for non-muscle tissue is available in GEO that I would like to look at for comparative, but it is not in hic format.