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Cited by 4Bioinformatics and Genomic NetworksGenomics and Phylogenetic StudiesGraph Theory and Algorithms

A comprehensive review of global alignment of multiple biological networks: background, applications and open issues

Girisha, M. N., Badiger, Veena P., Pattar, Santosh·2022·Network Modeling Analysis in Health Informatics and Bioinformatics
DOI 10.1007/s13721-022-00353-7
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Crossref · 10.1007/s13721-022-00353-7

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Understanding the biological significance of alignment results requires complex bioinformatics analyses and a wide array of skills and expertise.

    “This often involves complex bioinformatics analyses, requiring a wide array of skills and expertise [81].”

    From Whole-Genome Alignment: Methods, Challenges, and Future Directions (2024) · cites this paper as [81]

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Authors
Girisha, M. N., Badiger, V. P., & Pattar, S.
Affiliations
  • Bangalore University (IN)
  • Koneru Lakshmaiah Education Foundation (IN)
Corresponding author
  • Girisha, M. N.
  • Badiger, Veena P.
  • Pattar, Santosh
ORCID
Venue
Network Modeling Analysis in Health Informatics and Bioinformatics
Publisher
Springer Science and Business Media LLC
Published
2022-01-28
Volume
11
Issue
1
ISSN
  • 2192-6670 (ISSN-L)
  • 2192-6662
DOI
10.1007/s13721-022-00353-7
OpenAlex
W4220893270
Cited by
4
References
1
Citations by year
2026: 1 · 2024: 2 · 2023: 1
FWCI
0.24
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Network Modeling Analysis in Health Informatics and Bioinformatics (publishedVersion)
  • ePrints@Bangalore University (Bangalore University) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Graph Theory and Algorithms
Keywords
network alignment, subgraph isomorphism, biological networks, NP-completeness, computational challenges, species comparison, personalized medicine

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