Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs) have multiple cores, whereas Graphics Processing Units (GPUs) also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic interaction analysis for binary traits.

Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis.

Citation: Chikkagoudar, S., Wang, K., & Li, M. (2011). GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores. BMC research notes, 4(1), 158.

Project Activity

See All Activity >

Follow GENIE (GEne-geNe IntEraction)

GENIE (GEne-geNe IntEraction) Web Site

You Might Also Like
Speech-to-Text: Automatic Speech Recognition Icon
Speech-to-Text: Automatic Speech Recognition

Accurately convert voice to text in over 125 languages and variants by applying Google's powerful machine learning models with an easy-to-use API.

New customers get $300 in free credits to spend on Speech-to-Text. All customers get 60 minutes for transcribing and analyzing audio free per month, not charged against your credits.
Rate This Project
Login To Rate This Project

User Ratings

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

User Reviews

There are no 5 star reviews.

Additional Project Details

Intended Audience

Science/Research

Programming Language

C

Related Categories

C Bio-Informatics Software, C Statistics Software

Registered

2013-12-09