Search Results for "hidden"

Using RNA-seq, tens of thousands of novel transcripts and isoforms have been identified (Djebali, et al Nature, 2012 , Carbili et al, Gene & Development, 2011) The discovery of these hidden transcriptome rejuvenate the need of distinguishing coding and noncoding RNA. However, Most previous coding potential prediction methods heavily rely on alignment, either pairwise alignment to search for protein evidence or multiple alignments to calculate phylogenetic conservation score (such as CPC , PhyloCSF and RNACode ). This is because most previously identified transcripts including protein coding RNA and short, housekeeping/regulatory RNAs such as snRNAs, snoRNA and tRNA are highly conserved. ...

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.

...TransGeneScan is no longer maintained in SourceForge.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/), and can predict a sense transcript containing one or multiple genes (in an operon) or an antisense transcript.

...ProtDraw creates flexible, easily-interpretable and portable illustrations of the domain structures of input sequences. ProtDraw is accompanied by makeProtDraw, a helper program which runs hmmer3 on a specified set 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.

It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data.

EvoPromoter is a JAVA application that detects promoter regions in aligned nucleotide sequences using phylogenetic hidden markov models.

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.

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.

hmm2gviz is a tool used for converting hidden Markov models generated by HMMER into a graph visualization using Graphviz.

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.