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Analyzing influenza virus sequences using binary encoding approach
Ham Ching Lam
, Srinand Sreevatsan
,
Daniel Boley
Research Computing
Veterinary Population Medicine
Computer Science and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
3
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Scopus citations
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Dive into the research topics of 'Analyzing influenza virus sequences using binary encoding approach'. Together they form a unique fingerprint.
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Keyphrases
Influenza
100%
Influenza Virus
100%
Binary Encoding
100%
Virus Sequence
100%
Principal Coordinate Analysis (PCoA)
66%
Mutation Pattern
66%
Protein Sequence
66%
Binary String
66%
Amino Acids
33%
Virus
33%
Sequence Data
33%
Sparsity
33%
Large Volume
33%
P-distance
33%
Nucleotide Sequence
33%
Biophysical Properties
33%
Reassortant Virus
33%
Data Projection
33%
Alignment Matrix
33%
Binary Forms
33%
Hamming Distance
33%
Sequence Alignment
33%
Identification Power
33%
Binary Sequences
33%
Genome Sequence
33%
Dimension Reduction Method
33%
Projection Technique
33%
Genetic Sequence
33%
Binary Encoding Scheme
33%
Computer Science
Binary Encoding
100%
Principal Components
100%
Component Analysis
100%
Sparsity
50%
Alignment Matrix
50%
Binary Sequence
50%
Projection Data
50%
Hamming Distance
50%
Encoding Scheme
50%
Sequence Alignment
50%
Intrinsic Property
50%
Amino Acid Sequence
50%
Biochemistry, Genetics and Molecular Biology
Principal Component Analysis
100%
Influenza Virus
100%
Genetics
50%
Amino Acids
50%
Peptide Sequence
50%
Reassortment
50%
Virus
50%
Sequence Alignment
50%
Nucleotide
50%