MOST 1.0 – Multivariate Outcome Score Test

MOST 1.0

:: DESCRIPTION

MOST (Multivariate Outcome Score Test) is able to analyze all the traits jointly. The framework is flexible in that it can handle both continuous and binary traits, or a mixture of them. In addition, it can accommodate family data, can adjust for covariates (such as ancestry variables, age, gender, etc.), and can be combined efficiently across studies with different designs. Furthermore, it has a built-in Monte Carlo procedure that can determine the genome-wide significance by taking into account the LD information among all the SNPs. Tur framework establishes a flexible platform for the analysis of multivariate-outcome association study, and provides a powerful tool for uncovering pleiotropic genetic variants.

::DEVELOPER

Danyu Lin

:: SCREENSHOTS

N/A

::REQUIREMENTS

Linux

:: DOWNLOAD

MOST

:: MORE INFORMATION

Citation

Genet Epidemiol. 2013 Dec;37(8):759-67. doi: 10.1002/gepi.21759. Epub 2013 Nov 5.
A general framework for association tests with multivariate traits in large-scale genomics studies.
He Q1, Avery CL, Lin DY.

MOST+ 1.5 – Motif Finding system combing Genomic Sequence and Heterogenous Genome-wide Signatures

MOST+ 1.5

:: DESCRIPTION

MOST+ is a fast MOTIF finding tool(MOtif finding by Suffix tree and heterogeneous Tags). It extracts distribution features of nearby epigenomic markers, like histone modification or nucleosome occupancy, to help de novo find motif, thus rendering a higher level of accuracy on characterizing motif (cross-validated by ChIP-seq data) and more co-factors.

::DEVELOPER

Dr. Chaochun Wei

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux

:: DOWNLOAD

MOST+

:: MORE INFORMATION

Citation

BMC Genomics. 2015;16 Suppl 7:S13. doi: 10.1186/1471-2164-16-S7-S13.
MOST+: A de novo motif finding approach combining genomic sequence and heterogeneous genome-wide signatures.
Zhang Y, He Y, Zheng G, Wei C.

MOST 2.0 alpha-9- Metabolic Optimization and Simulation Tool

MOST 2.0 alpha-9

:: DESCRIPTION

MOST is a standalone software package that can be used to create constraint-based models of metabolism, load existing models, export models, and run analyses on these models to predict the production of desired compounds by microbes under genetic manipulations.

::DEVELOPER

MOST team

:: SCREENSHOTS

::REQUIREMENTS

Linux / Windows/ MacOsX
Java

:: DOWNLOAD

MOST

:: MORE INFORMATION

Citation

MOST: a software environment for constraint-based metabolic modeling and strain design.
Kelley JJ, Lane A, Li X, Mutthoju B, Maor S, Egen D, Lun DS.
Bioinformatics. 2015 Feb 15;31(4):610-1. doi: 10.1093/bioinformatics/btu685.