NAIBR – Novel Adjacency Identification with Barcoded Reads

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.

::DEVELOPER

Raphael Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

NAIBR

:: 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.