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Computer Science

D-Index
38
Citations
5265
World Ranking
10352
National Ranking
413

Overview

Frank Dehne is affiliated with Carleton University in Canada, focusing primarily on research in the fields of Biochemistry, Genetics, and Molecular Biology, as well as Medicine. Their expertise encompasses subfields including Molecular Biology, Infectious Diseases, Biomedical Engineering, Cell Biology, and Psychiatry and Mental Health.

The main topics covered in Frank Dehne's work include Bioinformatics and Genomic Networks, SARS-CoV-2 and COVID-19 Research, Studies on Chitinases and Chitosanases, Chemical Synthesis and Analysis, Biochemical and Structural Characterization, RNA and Protein Synthesis Mechanisms, and Biotin and Related Studies.

Published research appears in a variety of scientific journals, with frequent contributions to venues such as:

  • Scientific Reports
  • Genes
  • Journal of Proteome Research
  • NAR Genomics and Bioinformatics
  • Blood Advances

Recent papers authored or coauthored by Frank Dehne include:

  • NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Core Topics for Undergraduates (2024), published in HAL (Le Centre pour la Communication Scientifique Directe)
  • PIPE4: Fast PPI Predictor for Comprehensive Inter- and Cross-Species Interactomes (2020), published in Scientific Reports
  • Peptides of a Feather: How Computation Is Taking Peptide Therapeutics under Its Wing (2023), published in Genes
  • Human-Soybean Allergies: Elucidation of the Seed Proteome and Comprehensive Protein-Protein Interaction Prediction (2021), published in Journal of Proteome Research
  • A computational approach to rapidly design peptides that detect SARS-CoV-2 surface protein S (2022), published in NAR Genomics and Bioinformatics

Close collaboration is a notable aspect of Frank Dehne's research, frequently working with coauthors including Ashkan Golshani, Bahram Samanfar, Mohan Babu, Maryam Hajikarimlou, and Thomas David Daniel Kazmirchuk.

Best Publications

  • Scalable parallel geometric algorithms for coarse grained multicomputers

    Frank Dehne;Andreas Fabri;Andrew Rau-Chaplin

  • PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs

    Sylvain Pitre;Frank K. H. A. Dehne;Albert Chan;James Cheetham

  • Mapping and identification of a potential candidate gene for a novel maturity locus, E10, in soybean

    Bahram Samanfar;Stephen J. Molnar;Martin Charette;Andrew Schoenrock

  • An O(2O(k)n3) FPT Algorithm for the Undirected Feedback Vertex Set Problem

    Frank Dehne;Michael Fellows;Michael Langston;Frances Rosamond

  • Solving large FPT problems on coarse-grained parallel machines

    James Cheetham;Frank Dehne;Andrew Rau-Chaplin;Ulrike Stege

  • The cluster editing problem : Implementations and experiments

    Frank Dehne;Michael A. Langston;Xuemei Luo;Sylvain Pitre

  • SCALABLE PARALLEL COMPUTATIONAL GEOMETRY FOR COARSE GRAINED MULTICOMPUTERS

    Frank K. H. A. Dehne;Andreas Fabri;Andrew Rau-Chaplin

  • A randomized parallel 3D convex hull algorithm for coarse grained multicomputers

    Frank Dehne;Xiaotie Deng;Patrick Dymond;Andreas Fabri

  • Computational methods for predicting protein-protein interactions

    Sylvain Pitre;Alamgir;James R. Green;Michel Dumontier

  • CGMGRAPH/CGMLIB: Implementing and Testing CGM Graph Algorithms on PC Clusters and Shared Memory Machines

    Albert Chan;Frank Dehne;Ryan Taylor

  • SPR Distance Computation for Unrooted Trees

    Glenn Hickey;Frank Dehne;Andrew Rau-Chaplin;Christian Blouin

  • Computational approaches toward the design of pools for the in vitro selection of complex aptamers

    Xuemei Luo;Maureen McKeague;Sylvain Pitre;Michel Dumontier

  • Parallel ROLAP data cube construction on shared-nothing multiprocessors

    Ying Chen;F. Dehne;T. Eavis;A. Rau-Chaplin

  • NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates

    Sushil K. Prasad;Almadena Chtchelkanova;Sajal Das;Frank Dehne

  • Bridging the gap between systems biology and medicine

    Gilles Clermont;Charles Auffray;Yves Moreau;David M Rocke

  • Hypercube algorithms for parallel processing of pointer-based quadtrees

    Frank Dehne;Andrew Rau-Chaplin;Afonso G. Ferreira

  • Parallelizing the Data Cube

    Frank Dehne;Todd Eavis;Susanne Hambrusch;Andrew Rau-Chaplin

  • Efficient Parallel Graph Algorithms For Coarse Grained Multicomputers and BSP

    Edson Cáceres;Frank K. H. A. Dehne;Afonso Ferreira;Paola Flocchini

  • Efficient External Memory Algorithms by Simulating Coarse-Grained Parallel Algorithms

    Frank K. H. A. Dehne;Wolfgang Dittrich;David A. Hutchinson

  • Greedy Localization, Iterative Compression, and Modeled Crown Reductions: New FPT Techniques, an Improved Algorithm for Set Splitting, and a Novel 2k Kernelization for Vertex Cover

    Frank K. H. A. Dehne;Michael R. Fellows;Frances A. Rosamond;Peter Shaw

  • Efficient parallel graph algorithms for coarse-grained multicomputers and BSP

    Frank K. H. A. Dehne;Afonso Ferreira;Edson Cáceres;Siang W. Song

  • Scalable parallel computational geometry for coarse grained multicomputers

    F. Dehne

Frequent Co-Authors

Nicola Santoro
Nicola Santoro Carleton University
Michael R. Fellows
Michael R. Fellows Lebanese American University
Michael A. Langston
Michael A. Langston University of Tennessee at Knoxville
Frances A. Rosamond
Frances A. Rosamond University of Bergen
Mikael Benson
Mikael Benson Linköping University
Michel Dumontier
Michel Dumontier Maastricht University
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Ivan Stojmenovic
Ivan Stojmenovic University of Ottawa
Yves Moreau
Yves Moreau KU Leuven
Charles Auffray
Charles Auffray Centre national de la recherche scientifique, CNRS

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