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MORPH: Probabilistic alignment combined with hidden Markov models of cis-regulatory modules
Saurabh Sinha
, Xin He
Siebel School of Computing and Data Science
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Dive into the research topics of 'MORPH: Probabilistic alignment combined with hidden Markov models of cis-regulatory modules'. Together they form a unique fingerprint.
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Keyphrases
Hidden Markov Model
100%
Cis-regulatory Modules
100%
Stochastic Alignment
100%
Binding Site
28%
Orthologs
28%
Cis-regulatory Evolution
28%
Sequence Alignment
14%
Biological Processes
14%
Transcriptional Control
14%
Precise Alignment
14%
Metazoan
14%
Two-species
14%
Regulatory Region
14%
Drosophila Melanogaster
14%
Computational Prediction
14%
Alignment Tool
14%
Natural Places
14%
Probabilistic Framework
14%
Sequence Comparison
14%
Alignment Algorithm
14%
Cross-species
14%
Module Analysis
14%
Computational Artifacts
14%
Binding Site Prediction
14%
Biochemistry, Genetics and Molecular Biology
Hidden Markov Model
100%
Cis-Regulatory Module
100%
Binding Site
42%
Sequence Alignment
14%
Biological Phenomena and Functions Concerning the Entire Organism
14%
Regulatory Region
14%
Drosophila Melanogaster
14%