We present a maximum-likelihood method for examining the selection pressure and detecting positive selection in noncoding regions using multiple aligned DNA sequences.

Project Activity

See All Activity >

Categories

Bio-Informatics

License

GNU General Public License version 2.0 (GPLv2)

Follow Detecting Selection in Noncoding Regions

Detecting Selection in Noncoding Regions Web Site

Other Useful Business Software
AI-powered service management for IT and enterprise teams Icon
AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • I am a biology student and do not have much knowledge with computation and statistics. i work on plant intron and have evidence of numerous introns of a gene family undergoing positive selection i was interested in finding if selective constraints are acting on these introns so that it becomes easy for me to predict the modular structure. i downloaded the program evonc but am clueless how to use it since i dont find any executable file on the list of winzip file. could anyone help me on this issue
Read more reviews >

Additional Project Details

Intended Audience

Science/Research

User Interface

Command-line

Programming Language

C

Related Categories

C Bio-Informatics Software

Registered

2007-08-29