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BMC Bioinformatics
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February 3, 2012
Analysis of energy-based algorithms for RNA secondary structure prediction
Monir Hajiaghayi, Anne Condon, Holger H Hoos
Journal of Molecular Biology
|
January 13, 2005
Secondary structure prediction of interacting RNA molecules
Mirela Andronescu, Zhi Chuan Zhang, Anne Condon
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
June 16, 2009
An O(n(5)) algorithm for MFE prediction of kissing hairpins and 4-chains in nucleic acids
Ho-Lin Chen, Anne Condon, Hosna Jabbari
Bioinformatics Advances
|
August 20, 2025
<i>Struc2mapGAN</i>: improving synthetic cryogenic electron microscopy density maps with generative adversarial networks
Chenwei Zhang, Anne Condon, Khanh Dao Duc
Briefings in Bioinformatics
|
July 11, 2025
A comprehensive survey and benchmark of deep learning-based methods for atomic model building from cryo-electron microscopy density maps
Chenwei Zhang, Anne Condon, Khanh Dao Duc
Cell Genomics
|
December 2, 2025
CellUntangler: Separating distinct biological signals in single-cell data with deep generative models
Sarah Chen, Aviv Regev, Anne Condon, et al.
BMC Bioinformatics
|
February 3, 2007
Computational RNA secondary structure design: empirical complexity and improved methods
Rosalía Aguirre-Hernández, Holger H Hoos, Anne Condon
Environmental Pollution (Barking, Essex : 1987)
|
May 31, 2011
Floodplain methylmercury biomagnification factor higher than that of the contiguous river (South River, Virginia USA)
Michael C Newman, Xiaoyu Xu, Anne Condon, et al.
RNA (New York, N.Y.)
|
October 4, 2005
HotKnots: heuristic prediction of RNA secondary structures including pseudoknots
Jihong Ren, Baharak Rastegari, Anne Condon, et al.
BMC Bioinformatics
|
August 15, 2008
RNA STRAND: the RNA secondary structure and statistical analysis database
Mirela Andronescu, Vera Bereg, Holger H Hoos, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 37) with videos related to
Sort By:
Page
of 4
BMC Bioinformatics
|
February 3, 2012
Analysis of energy-based algorithms for RNA secondary structure prediction
Monir Hajiaghayi, Anne Condon, Holger H Hoos
Journal of Molecular Biology
|
January 13, 2005
Secondary structure prediction of interacting RNA molecules
Mirela Andronescu, Zhi Chuan Zhang, Anne Condon
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
June 16, 2009
An O(n(5)) algorithm for MFE prediction of kissing hairpins and 4-chains in nucleic acids
Ho-Lin Chen, Anne Condon, Hosna Jabbari
Bioinformatics Advances
|
August 20, 2025
<i>Struc2mapGAN</i>: improving synthetic cryogenic electron microscopy density maps with generative adversarial networks
Chenwei Zhang, Anne Condon, Khanh Dao Duc
Briefings in Bioinformatics
|
July 11, 2025
A comprehensive survey and benchmark of deep learning-based methods for atomic model building from cryo-electron microscopy density maps
Chenwei Zhang, Anne Condon, Khanh Dao Duc
Cell Genomics
|
December 2, 2025
CellUntangler: Separating distinct biological signals in single-cell data with deep generative models
Sarah Chen, Aviv Regev, Anne Condon, et al.
BMC Bioinformatics
|
February 3, 2007
Computational RNA secondary structure design: empirical complexity and improved methods
Rosalía Aguirre-Hernández, Holger H Hoos, Anne Condon
Environmental Pollution (Barking, Essex : 1987)
|
May 31, 2011
Floodplain methylmercury biomagnification factor higher than that of the contiguous river (South River, Virginia USA)
Michael C Newman, Xiaoyu Xu, Anne Condon, et al.
RNA (New York, N.Y.)
|
October 4, 2005
HotKnots: heuristic prediction of RNA secondary structures including pseudoknots
Jihong Ren, Baharak Rastegari, Anne Condon, et al.
BMC Bioinformatics
|
August 15, 2008
RNA STRAND: the RNA secondary structure and statistical analysis database
Mirela Andronescu, Vera Bereg, Holger H Hoos, et al.
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of 4