Skip to content

SiyangLiu/AsmVar

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 

Repository files navigation

AsmVar

AsmVar is a software for detecting variants, including Indel & SV, base on long sequence(or de novo Assembly) alignement.

LICENSE

Copyright © 2014-2015

Author & contributors: Shujia Huang, Siyang Liu, Weijian Ye & Junhua Rao
Contact : [email protected] & [email protected]
Institute : BGI & KU
Last Version : 2014-05-30

Contribution

The AsmVar is developed for the DanishPanGenome project in GenomeDK platform. This manuscript is written by Siyang Liu independently supervised by Anders Krogh. The AsmVar software construction, applications, statistical methods and the evaluation protocols are established by Siyang Liu and Shujia Huang, Junhua Rao and Weijian Ye led by Siyang Liu and Shujia Huang. The coding contributions for different modules are written in the source code title. Most of the initial codes are written in C++, python and perl by Shujia Huang and perl, python and R by Siyang Liu, Weijian Ye and Junhua Rao. Shujia Huang takes charge of the software architecture and the efficiency of the algorithms. The AsmVar is under active development at the moment, dedicated to provide population-scale exact breakpoint variants called from de novo assemblies or long read technology such as illumine molecule and CG LFR.

Usage

  1. Overview
  2. How to use AsmVar
  3. Speed and Memory required
  4. Install the software
  5. Run the software
  6. Software output
  7. Please cite the paper ..., if you need .
  8. Acknowledgement :

Instant plans for further developments

  1. Evaluations of de novo assemblies with regards to continuity, completeness and accuracy.
  2. Assign quality scores to de novo assemblies
  3. Improve genotyping module and develop new approaches for greatest accuracy and flexibility.
  4. Streamline the characterization of structural variants modules in AsmVar
  5. Improvement of de novo assemblies

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published