Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

NeSSM | A Next-generation Sequencing Simulator for Metagenomics

Defines each position containing an explicit distribution of sequencing quality values. Sequencing coverage bias can be considered in NeSSM. It can obtain metagenomic community compositions from existing sequencing data, which can be helpful to improve the fidelity of metagenome simulation. NeSSM can be used to develop tools and to determine some critical parameters for projects based on metagenome sequencing.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

NeSSM forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

NeSSM classification

NeSSM specifications

Unique identifier:
Command line interface
Operating system:
Software type:
Restrictions to use:
Computer skills:

NeSSM distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

NeSSM support


  • Chaochun Wei <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China; Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China

Funding source(s)

This work was supported by grants from the National Natural Science Foundation of China (61272250), the National Basic Research Program of China (2012AA101601, 2012CB316501), and the National High-Tech R&D Program (2012AA101601).

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.