BEST 2.3.1 – Phylogenetic Analysis of Multilocus Data

BEST 2.3.1

:: DESCRIPTION

BEST (Bayesian Estimation of Species Trees)is a free phylogenetics program to estimate the joint posterior distribution of gene trees and species tree using multilocus molecular data that accounts for deep coalescence but not for other issues such as horizontal transfer or gene duplication.

::DEVELOPER

Liang Liu

:: SCREENSHOTS

BEST1

:: REQUIREMENTS

  • MacOsX/ Windows

:: DOWNLOAD

 BEST

:: MORE INFORMATION

Citation

BEST: Bayesian estimation of species trees under the coalescent model.
Liu L.
Bioinformatics. 2008 Nov 1;24(21):2542-3. doi: 10.1093/bioinformatics/btn484

BEST 1.0.1 – Binding-site Estimation Suite of Tools

BEST 1.0.1

:: DESCRIPTION

BEST is a suite of motif-finding programs, including four motif-finding programs: AlignACE, BioProspector, Consensus, MEME, and the optimization program BioOptimizer configured for each of these program

::DEVELOPER

Che Lab of Bioinformatics at ESU

:: SCREENSHOTS

 BEST

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 BEST

:: MORE INFORMATION

Citation

Che D., Jensen, S., Cai, L. and Liu JS.
BEST: Binding-site Estimation Suite of Tools.
Bioinformatics, 21(12):2909-2911.

BEST 3.1 – Macromolecular Crystallography

BEST 3.1

:: DESCRIPTION

BEST is a program for optimal planning of X-ray data collection from protein crystals

::DEVELOPER

Alexander Popov and Gleb Bourenkov 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX

:: DOWNLOAD

 BEST

:: MORE INFORMATION

Citation:

Bourenkov and Popov.
Optimization of data collection taking radiation damage into account.
Acta Crystallogr D Biol Crystallogr (2010) vol. 66 (Pt 4) pp. 409-19

BEST 1.0 – Bayesian Expression Search Tool

BEST 1.0

:: DESCRIPTION

BEST (Bayesian Expression Search Tool) implements a model-based Bayesian querying tool. This program is designed to query large and heterogeneous microarray gene expression database. It is able to identify a small set of genes that share correlated gene expression profiles with the query gene under a subset of samples/experimental conditions. In addition, it allows linearly transformed expression patterns to be recognized and is robust against sporadic outliers in the data.

::DEVELOPER

Ming Hu  @ the Center for Statistical Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 BEST

:: MORE INFORMATION

Citation

Ming Hu, Zhaohui S. Qin
Query Large Scale Microarray Compendium Datasets Using a Model-Based Bayesian Approach with Variable Selection
PLoS One. 2009;4(2):e4495. Epub 2009 Feb 13.