Search research articles
Contact Us
Filters
Showing results (1-10 of 33) with videos related to
Page
of 4
Sort By:
BMC Bioinformatics
|
November 30, 2007
Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences
Stéfan Engelen, Fariza Tahi
Nucleic Acids Research
|
January 6, 2010
Tfold: efficient in silico prediction of non-coding RNA secondary structures
Stéfan Engelen, Fariza Tahi
Nucleic Acids Research
|
February 25, 2012
A fast ab-initio method for predicting miRNA precursors in genomes
Sébastien Tempel, Fariza Tahi
Computers & Chemistry
|
July 30, 2002
Automatic RNA secondary structure prediction with a comparative approach
Fariza Tahi, Manolo Gouy, Mireille Régnier
BMC Bioinformatics
|
January 17, 2018
Bi-objective integer programming for RNA secondary structure prediction with pseudoknots
Audrey Legendre, Eric Angel, Fariza Tahi
Bioinformatics (Oxford, England)
|
January 9, 2020
BiORSEO: a bi-objective method to predict RNA secondary structures with pseudoknots using RNA 3D modules
Louis Becquey, Eric Angel, Fariza Tahi
Bioinformatics (Oxford, England)
|
November 2, 2020
RNANet: an automatically built dual-source dataset integrating homologous sequences and RNA structures
Louis Becquey, Eric Angel, Fariza Tahi
BMC Bioinformatics
|
March 31, 2019
RCPred: RNA complex prediction as a constrained maximum weight clique problem
Audrey Legendre, Eric Angel, Fariza Tahi
BMC Bioinformatics
|
September 27, 2012
ncRNAclassifier: a tool for detection and classification of transposable element sequences in RNA hairpins
Sébastien Tempel, Nicolas Pollet, Fariza Tahi
Journal of Molecular Biology
|
May 19, 2026
DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentation
Loïc Omnes, Eric Angel, Fariza Tahi
Page
of 4
Search research articles
Search
Showing results (1-10 of 33) with videos related to
Sort By:
Page
of 4
BMC Bioinformatics
|
November 30, 2007
Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences
Stéfan Engelen, Fariza Tahi
Nucleic Acids Research
|
January 6, 2010
Tfold: efficient in silico prediction of non-coding RNA secondary structures
Stéfan Engelen, Fariza Tahi
Nucleic Acids Research
|
February 25, 2012
A fast ab-initio method for predicting miRNA precursors in genomes
Sébastien Tempel, Fariza Tahi
Computers & Chemistry
|
July 30, 2002
Automatic RNA secondary structure prediction with a comparative approach
Fariza Tahi, Manolo Gouy, Mireille Régnier
BMC Bioinformatics
|
January 17, 2018
Bi-objective integer programming for RNA secondary structure prediction with pseudoknots
Audrey Legendre, Eric Angel, Fariza Tahi
Bioinformatics (Oxford, England)
|
January 9, 2020
BiORSEO: a bi-objective method to predict RNA secondary structures with pseudoknots using RNA 3D modules
Louis Becquey, Eric Angel, Fariza Tahi
Bioinformatics (Oxford, England)
|
November 2, 2020
RNANet: an automatically built dual-source dataset integrating homologous sequences and RNA structures
Louis Becquey, Eric Angel, Fariza Tahi
BMC Bioinformatics
|
March 31, 2019
RCPred: RNA complex prediction as a constrained maximum weight clique problem
Audrey Legendre, Eric Angel, Fariza Tahi
BMC Bioinformatics
|
September 27, 2012
ncRNAclassifier: a tool for detection and classification of transposable element sequences in RNA hairpins
Sébastien Tempel, Nicolas Pollet, Fariza Tahi
Journal of Molecular Biology
|
May 19, 2026
DivideFold+: an AI-based tool for RNA secondary structure prediction with subdomains identification and visualization and data augmentation
Loïc Omnes, Eric Angel, Fariza Tahi
Page
of 4