Search Results for "markov"
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14 programs for "markov" with 2 filters applied:
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Efficiently manage your fleet, drivers, students and routes. Get 24/7 live technical support from anywhere, anytime. Lynx empowers your transport department by providing multiple features to keep up with your school transport needs. Get control of your bus routing data. Easily update student information to any of your bus routes. View multiple routes at one time, set specific parameters in real-time and more. Track and monitor your vehicles plus keep track of fleet maintenance, all in real-time. Easily create customized reports to comply with transportation regulations and requirements. Easily view, map or export all of your rider pickups, special needs riders and group stops in one place.
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IMMpractical implements various Markov chain model-based methods for analysis of DNA sequences. Please cite: Sparks, M.E., Brendel, V. and Dorman, K.S. (2007) Markov model variants for appraisal of coding potential in plant DNA. LNBI. 4463:394-405.
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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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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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ConoSorter
A Large-scale Cone Snail Transcriptome/Proteome Analysis Program
ConoSorter is a high-throughput standalone program that implements regular expressions and profile Hidden Markov Models (pHMMs) for large-scale identification and classification of precursor conopeptides into gene superfamilies and classes based on the ER signal, pro-, and mature conopeptide regions generated from raw next-generation transcriptomic or proteomic data. ConoSorter also generates a set of relevant additional information (frequency of protein sequences, length, number of cysteine... -
Unlock the highest levels of straight-through processing (STP) and streamline your AP workflows with Neil, an AI Accounts Payable Executive, your one-stop solution to all your AP woes! From monitoring emails across channels to processing invoices to running n-way matches to the final entry into the ERP and everything in between, Neil handles it all—single-handedly, without human intervention.
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GenNon-h
Simulating non-homogeneous multiple sequence alignments
A number of software packages are available to generate DNA MSAs evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts to the time-reversible models and it is not optimized to generate nonhomogeneous data (i.e. placing distinct substitution rates at different lineages). GenNon-H is the first package designed to generate multiple sequence... -
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EvoPromoter is a JAVA application that detects promoter regions in aligned nucleotide sequences using phylogenetic hidden markov models.
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ESMERALDA is a development environment for statistical recognizers operating on sequential data (speech, handwriting, biological sequences). It supports continuous density Hidden Markov models, Markov chain (N-gramm) models, and Gaussian mixture models.
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RefineHMM refines an original hidden Markov model (HMM) to find an optimal fit against the evolutionary group that the HMM models, and it does this using through iterative database searches and incremental subsequent adaptation of the seed set.
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D-finder is a bioinformatic search algorithm for the identification of D-sites in JNK interacting proteins. The algorithm is a combination of pattern matching and a hidden markov model (HMM) based on a training set of known JNK D-sites.
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Grow, thrive, and compete in a global marketplace with Kinetic—an industry-tailored, cognitive ERP that helps you work smarter and stay connected.
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Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
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hmm2gviz is a tool used for converting hidden Markov models generated by HMMER into a graph visualization using Graphviz.
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DNA, Amino Acid And RNA Tests: free software for probabilistic measurement and annotation of biological sequences, using phylogenetic Markov chains and stochastic grammars.
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HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.
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