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Alignment-free sequence analysis
On bioinformatics, alignment-free sequence analysis approaches to molecular sequence and structure data provide alternatives over alignment-based…
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17 relations
Bioinformatics
Chaos game
Computer science
Distance matrix
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Broader (1)
Computational biology
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
An Extensible, Scalable Spark Platform for Alignment-free Genomic Analysis - Version 2
U. F. Petrillo
,
Francesco Palini
,
G. Cattaneo
,
R. Giancarlo
ArXiv
2020
Corpus ID: 218486813
Motivation: Alignment-free distance and similarity functions (AF functions, for short) are a computationally convenient…
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2017
2017
Role of Information Theory, Chaos Theory, and Linear Algebra and Statistics in development of alignment-free sequence analysis
S. Sampath
2017
Corpus ID: 54661675
2017
2017
msktuple: An integrated R library for alignment-free multiple sequence k-tuple analysis
Saeid Amiri
,
I. Dinov
2017
Corpus ID: 64667829
Highly Cited
2015
Highly Cited
2015
Whole Genome Phylogeny of Bacillus by Feature Frequency Profiles (FFP)
Aisuo Wang
,
G. Ash
Scientific Reports
2015
Corpus ID: 54677297
Fifty complete Bacillus genome sequences and associated plasmids were compared using the “feature frequency profile” (FFP) method…
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2014
2014
Random projection based clustering for population genomics
S. Tasoulis
,
Lu Cheng
,
+5 authors
J. Corander
IEEE International Conference on Big Data (Big…
2014
Corpus ID: 13055668
Recent data revolution in population genomics for bacteria has increased the size of aligned sequence data sets by two-to-three…
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2013
2013
Quantum Sequence Analysis: A New Alignment-free Technique For Analyzing Sequences in Feature Space
M. Daoud
BCB
2013
Corpus ID: 16271767
In this paper, we propose a new alignment-free sequence analysis technique (quantum sequence analysis) that can be used to…
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2010
2010
Alignment-free Sequence Analysis Using Extensible Markov Models
Rao M. Kotamarti
,
M. Dunham
2010
Corpus ID: 17484584
Profile models based on Hidden Markov Models (HMM) for sequence studies have gained visibility among researchers. While the…
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