Search Results for "markov" - Page 3
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Showing 165 open source projects for "markov"
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Frame-Pro
HMM and directed graph consensus combing error-correction tool
Frame-Pro is a tool using Hidden Markov Model and directed acyclic graph to correct the errors in DNA sequencing reads. -
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This package implements the algorithm bagging markov random field method with c++ together with Java interface. http://nar.oxfordjournals.org/content/41/2/e42.long Cytoscape App: BMRF-Net-CytoscapeV1.0.tar.gz https://sourceforge.net/projects/bmrfcjava/files/BMRF-Net%20Package/BMRF-Net-CytoscapeV1.0.tar.gz/download Source code and standalone version: BMRF-Net-standalone.tar.gz https://sourceforge.net/projects/bmrfcjava/files/BMRF-Net%20Package/BMRF-Net-standaloneV1.1.tar.gz/download...
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Raw sequences produced by next generation sequencing (NGS) machines may contain adapter, linker, barcode and fingerprint sequences. TagDust2 is a program to extract and correctly label the sequences to be mapped in downstream pipelines. TagDust allows users to specify the expected architecture of a read and converts it into a hidden Markov model. The latter can assign sequences to a particular barcode (or index) even in the presence of sequencing errors. Sequences not matching...
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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Logi (Local Observations to Global Integration) transforms several local coordinate systems (composed of polar measurements) into a global spatial uniform network with respect to the Guide to the Expression of Uncertainty in Measurement (GUM).
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Continuous time Markov chain (CTMC) can be used to describe describe the number of molecules and the number of reactions at any given time in a chemical reaction system. Gillespie algorithm is an important stochastic simulation algorithm, used to simulate each reaction track events of continuous time Markov chain in the number of collision frequency and collision time, but the computational cost is inevitably. In this project, Gillespie’s algorithm with rejection sampling introduces...
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popanc
estimate population ancestry frequencies in admixed populations
This program uses discriminant analysis and Markov chain Monte Carlo to infer local ancestry frequencies in an admixed population from genomic data. This is done in the context of a continuous correlated beta process model that accounts for expected autocorrelations in local ancestry frequencies along chromosomes. This method is best-suited for the analysis of admixed populations that experience little or no on-going gene flow from the parental populations, but that are still segregating... -
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mCarts
A hidden Markov model to predict clustered RNA motif sites
Many RBPs recognize very short and degenerate sequences, with targeting specificity achieved by mechanisms such as synergistic binding to multiple clustered sites and modulation of site accessibility through different RNA-secondary structures. mCarts integrates the number and spacing of individual motif sites, their accessibility and conservation, which substantially improves signal to noise ratio. This algorithm learns and quantifies rules of these features, taking advantage of a large... -
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Muninn
A software package for estimating generalized ensemble weights in Mark
We have moved to GitHub: https://github.com/muninnorg/muninn As of July 2015 we have moved to GitHub. The SourceForge page will preserved, with the old releases. Muninn is a software package for estimating generalized ensemble weights in Markov chain Monte Carlo (MCMC) simulations. The method is full automated and makes use of the generalized multihistogram (GMH) equations for estimation the density of states [1]. The package is implemented in C++ and has a convenient interface. -
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TransGeneScan
TransGeneScan is a gene finding tool for metatranscriptomic sequences
NOTE: TransGeneScan is migrated to Github (https://github.com/COL-IU/TransGeneScan). TransGeneScan is no longer maintained in SourceForge. Please find the latest version in Github. TransGeneScan is a gene finding tool for Metatranscriptomic sequences. TransGeneScan incorporates strand-speci c hidden states, representing coding sequences in sense and anti-sense strands on transcripts in a Hidden Markov Model similar to the one used in FragGeneScan (http://fraggenescan.sourceforge.net... -
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This project will focus on the development of tools and analyses for the diagnosis of convergence in Markov Chain Monte Carlo (MCMC) processes, with a main focus on inference of phylogeny using Bayesian statistical methods.
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libpondyparser
A multi-core C++ parser library using chaotic systems (GPL and LGPL 2)
Markov and L-systems can be used to thread a parser library albeit a simple example parser which can be extended to a full blown one. L-systems classes are fitted with stack and deque structures for propagation. Markov systems can be extended from the codebase which uses operators for a decision process. The library can be used to make bigger systems such as neural nets and so on. -
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High-order HMM in Matlab
Implementation of duration high-order hidden Markov model in Matlab.
Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition. -
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StatAlign
An extendable statistical multiple alignment tool.
StatAlign is an extendable software package for Bayesian analysis of Protein, DNA and RNA sequences. Multiple alignments, phylogenetic trees and evolutionary parameters are co-estimated in a Markov Chain Monte Carlo framework, allowing for reliable measurement of the accuracy of the results. This approach eliminates common artifacts that traditional methods suffer from, at the cost of increased computational time. These artifacts include the dependency of the constructed phylogeny... -
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The software annotates text with 41 broad semantic categories (Wordnet supersenses) for both nouns and verbs; i.e., it performs both sense disambiguation and named-entity recognition. The tagger implements a discriminatively-trained Hidden Markov Model.
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FamSeq
Variant calling on the basis of pedigree information
... implementations of the Mendelian genetic model: the Bayesian network algorithm, Elston-Stewart algorithm and Markov chain Monte Carlo algorithm. To make the software efficient and applicable to large families, we parallelized the Bayesian network algorithm that copes with pedigrees with inbreeding loops without losing calculation precision on an NVIDIA® graphics processing unit. -
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scopeplusplus
SCOPE++: Sequence Classification Of homoPolymer Emissions
SCOPE++ is a C++-based program for accurately identifying homopolymer in cDNA sequences using Hidden Markov Models. This can be extended to trimming poly(A)/poly(T) tails, or identifying A,C,G,T,or N homopolymer sequences. -
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HMM-FRAME
Frameshift detection and correction for next-generation sequences
HMM-FRAME is designed to accurately locate and correct frameshift errors in next-generation sequencing (NGS) data using an augmented Viterbi algorithm on profile hidden Markov models (profile HMMs). By correcting the frameshift errors, it can classify more NGS sequences into their native protein domain families. -
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MetaDomain
Protein domain classification for short sequences
MetaDomain is a protein domain classification tool designed for very short next-generation sequencing reads. It achieves better sensitivity and low false positive rate compared with the state-of-the-art profile hidden Markov model (profile HMM) alignment tool in identifying encoded domains from short sequences. -
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Hrothgar Parallel LM/MCMC Minimizer
A versatile MCMC and downhill optimization engine
Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of San Francisco State University. It has been used to solve optimization problems in astrophysics (galaxy cluster mass profiles) as well as in experimental particle physics (hadronic tau decays). It is probably adaptable enough to be applied to your merit function if you can write it in C. -
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vbTPM
Variational Bayes for tethered particle motion
vbTPM is an analysis package aimed at analyzing time series from a single molecule technique called tethered particle motion, which are common for in vitro investigations of protein-nucleic acid interactions. vbTPM uses a variational approach to hidden Markov models, and resembles recent methods for single molecule FRET (http://vbfret.sourcefore.net/) and single particle tracking (http://vbspt.sourceforge.net/) data. 2014-08-12: NAR manuscript in print! http://dx.doi.org/10.1093/nar... -
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MGEScan is a suite of two software tools MGEScan-LTR and MGEScan-non-LTR. MGEScan-LTR is a software that can identify new LTR retrotransposons without relying on a library of known elements. It uses approximate string matching technique and protein domain analysis to detect intact LTR retrotransposons. In addition, it identifies partially deleted or solo LTRs using profile Hidden Markov Models (pHMMs). MGEScan-non-LTR is a software for the identification of non-LTR retrotransposons...
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Protdraw
Create portable, flexible domain drawings of protein sequences
... of hidden Markov models and formats results for ProtDraw. Highest-scoring domains are selected in cases of overlap. Domain drawings may be organized by sequence classification. -
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diCal
Demographic Inference using Composite Approximate Likelihood
diCal is a scalable demographic inference method based on the sequentially Markov conditional sampling distribution framework. At present, diCal can infer a piecewise-constant population size history from the genomes of multiple individuals sampled from a single population. We are currently working on extending the method to handle more complex demography, incorporating multiple populations, population splits, migration, admixture, etc. Version 1.3 released on Jan 10, 2014. See "Files...