Implemented code for the reanalysis of somatic APP retrotransposition originally claimed by Lee at el (Nature, 2018). Modules for two different analyses--detection of intra-exonic junctions (IEJs) and estimation of APP gencDNA fraction--are provided. A detailed description of our analysis is available in our bioRxiv paper (https://bit.ly/35Kgfbu).

[ Basic usage ]
• Detection of IEJs connecting APP exons
java -jar somaticAPP.jar -D -b input.bam [optional_arguments]
* Input data: PRJNA577966
* The input bam should be mapped to APP751.fa (provided in the 'data' folder) and sorted by read name after mapping

• Estimation of gencDNA fraction
java -jar somaticAPP.jar -F -b input.bam -a BWA_PATH -s SAMTOOLS_PATH [optional_arguments]
* Input data: PRJNA493258
* The input bam should be a human-genome-mapped (hg38), coordinate-sorted, and duplicate-marked file.

Try -h or -? options to get detailed descriptions for optional input parameters

Project Activity

See All Activity >

Follow Somatic APP analysis

Somatic APP analysis Web Site

Other Useful Business Software
Paessler: Easy to Use With Enterprise Power. Free Trial Icon
Paessler: Easy to Use With Enterprise Power. Free Trial

A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

You shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
Get Free Download
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Somatic APP analysis!

Additional Project Details

Registered

2019-10-17