NAIBR
:: DESCRIPTION
NAIBR is a probabilistic algorithm for the identification of novel adjacencies from whole-genome linked-read sequencing data. NAIBR takes as input a barcoded and phased BAM processed with 10X Genomics’ “Long Ranger” pipeline and outputs a BEDPE file containing the predicted novel adjacencies with corresponding haplotypes, and log-likelihood scores.
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::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- Python
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Elyanow R, Wu HT, Raphael BJ.
Identifying structural variants using linked-read sequencing data.
Bioinformatics. 2018 Jan 15;34(2):353-360. doi: 10.1093/bioinformatics/btx712. PMID: 29112732; PMCID: PMC5860216.
Hi! I am happy that you are using your own website. I am trying to use NAIBR to detect structural variants, and I am wondering I can get more detailed information for input data. Which BAM file should I use, and could you give me some useful option information to maximize your tool? I want to know which specific BAM file from LongRanger pipeline should be used..? I have WGS linked-read data for rodents.
Any questions, pleas contact with Raphael Lab