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== Applications ==
[[File:A profile HMM modelling a multiple sequence alignment.png|thumb|right|A profile HMM modelling a multiple sequence alignment of proteins in [[Pfam]]]]
HMMs can be applied in many fields where the goal is to recover a data sequence that is not immediately observable (but other data that depend on the sequence are). Applications include:
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* Sequence classification<ref>{{Cite journal |last1=Blasiak |first1=S. |last2=Rangwala |first2=H. |title=A Hidden Markov Model Variant for Sequence Classification |journal=IJCAI Proceedings-International Joint Conference on Artificial Intelligence |volume=22 |pages=1192 |year=2011 }}</ref>
* [[Metamorphic virus detection]]<ref>{{Cite journal |last1=Wong |first1=W. |last2=Stamp |first2=M. |doi=10.1007/s11416-006-0028-7 |title=Hunting for metamorphic engines |journal=Journal in Computer Virology |volume=2 |issue=3 |pages=211–229 |year=2006 |s2cid=8116065 }}</ref>
* [[
* DNA hybridization kinetics<ref>{{Cite journal|last1=Shah|first1=Shalin|last2=Dubey|first2=Abhishek K.|last3=Reif|first3=John|date=2019-05-17|title=Improved Optical Multiplexing with Temporal DNA Barcodes|journal=ACS Synthetic Biology|volume=8|issue=5|pages=1100–1111|doi=10.1021/acssynbio.9b00010|pmid=30951289|s2cid=96448257}}</ref><ref>{{Cite journal|last1=Shah|first1=Shalin|last2=Dubey|first2=Abhishek K.|last3=Reif|first3=John|date=2019-04-10|title=Programming Temporal DNA Barcodes for Single-Molecule Fingerprinting|journal=Nano Letters|volume=19|issue=4|pages=2668–2673|doi=10.1021/acs.nanolett.9b00590|pmid=30896178|bibcode=2019NanoL..19.2668S|s2cid=84841635|issn=1530-6984}}</ref>
*[[Chromatin]] state discovery<ref>{{Cite web|url=http://compbio.mit.edu/ChromHMM/|title=ChromHMM: Chromatin state discovery and characterization|website=compbio.mit.edu|access-date=2018-08-01}}</ref>
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