BayesMD statistics

info info

Citations per year

info

Tool usage distribution map

info info

Associated diseases

info

Popular tool citations

chevron_left Motif discovery chevron_right
Want to access the full stats & trends on this tool?

BayesMD specifications

Information


Unique identifier OMICS_06272
Name BayesMD
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Information


Unique identifier OMICS_06272
Name BayesMD
Interface Web user interface
Restrictions to use None
Programming languages MATLAB
Computer skills Basic
Stability Stable
Maintained Yes

Publication for BayesMD

BayesMD citations

 (2)
library_books

PairMotif+: A Fast and Effective Algorithm for De Novo Motif Discovery in DNA sequences

2013
PMCID: 3654438
PMID: 23678291
DOI: 10.7150/ijbs.5786

[…] an embedded EM algorithm to improve initial PWMs. The modification of Gibbs Sampling is described in -. In recent years, Bayesian theory has also been introduced in the field of motif search, such as BayesMD , A-GLAM , SBaSeTraM and BAMBI . Besides the statistical methods, some graph-theoretic methods either based on clustering or on heuristic search are proposed to solve the motif search problem […]

library_books

DISPARE: DIScriminative PAttern REfinement for Position Weight Matrices

2009
BMC Bioinformatics
PMCID: 2788558
PMID: 19941641
DOI: 10.1186/1471-2105-10-388

[…] to solve motif discovery problems. The general concept consists of performing a local multiple alignment on the input sequences to build a PWM. Programs such as the Gibbs Sampler [], NestedMICA [] or BayesMD [] use Gibbs sampling to achieve this goal while MEME [] and a number of other tools use Expectation Maximization. K-mer based methods infer PWMs from sets of statistically significant words t […]


Want to access the full list of citations?
BayesMD institution(s)
Bioinformatics Centre, Department of Molecular Biology, University of Copenhagen, Copenhagen, Denmark

BayesMD reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review BayesMD