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BMC Bioinformatics
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December 12, 2019
A computational approach based on the colored Petri net formalism for studying multiple sclerosis
Simone Pernice, Marzio Pennisi, Greta Romano, et al.
BMC Bioinformatics
|
March 13, 2024
CREDO: a friendly Customizable, REproducible, DOcker file generator for bioinformatics applications
Simone Alessandri, Maria L Ratto, Sergio Rabellino, et al.
International Journal of Molecular Sciences
|
January 8, 2020
Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data
Giulio Ferrero, Nicola Licheri, Lucia Coscujuela Tarrero, et al.
Frontiers in Bioinformatics
|
July 15, 2025
Long-read microbial genome assembly, gene prediction and functional annotation: a service of the MIRRI ERIC Italian node
Sandro Gepiro Contaldo, Antonio d'Acierno, Lorenzo Bosio, et al.
Bioinformatics (Oxford, England)
|
March 12, 2025
UnifiedGreatMod: a new holistic modelling paradigm for studying biological systems on a complete and harmonious scale
Riccardo Aucello, Simone Pernice, Dora Tortarolo, et al.
Gigascience
|
September 9, 2019
rCASC: reproducible classification analysis of single-cell sequencing data
Luca Alessandrì, Francesca Cordero, Marco Beccuti, et al.
British Journal of Haematology
|
May 18, 2021
Application of the Euro Clonality next-generation sequencing-based marker screening approach to detect immunoglobulin heavy chain rearrangements in mantle cell lymphoma patients: first data from the Fondazione Italiana Linfomi MCL0208 trial
Elisa Genuardi, Greta Romano, Marco Beccuti, et al.
International Journal of Molecular Sciences
|
January 28, 2026
Correction: Nosi et al. MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning. <i>Int. J. Mol. Sci.</i> 2021, <i>22</i>, 4217
Vladimir Nosi, Alessandrì Luca, Melissa Milan, et al.
International Journal of Molecular Sciences
|
April 30, 2021
MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning
Vladimir Nosi, Alessandrì Luca, Melissa Milan, et al.
Bioinformatics (Oxford, England)
|
April 20, 2023
CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system
Simone Pernice, Roberta Sirovich, Elena Grassi, et al.
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Search research articles
Search
Showing results (31-40 of 47) with videos related to
Sort By:
Page
of 5
BMC Bioinformatics
|
December 12, 2019
A computational approach based on the colored Petri net formalism for studying multiple sclerosis
Simone Pernice, Marzio Pennisi, Greta Romano, et al.
BMC Bioinformatics
|
March 13, 2024
CREDO: a friendly Customizable, REproducible, DOcker file generator for bioinformatics applications
Simone Alessandri, Maria L Ratto, Sergio Rabellino, et al.
International Journal of Molecular Sciences
|
January 8, 2020
Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data
Giulio Ferrero, Nicola Licheri, Lucia Coscujuela Tarrero, et al.
Frontiers in Bioinformatics
|
July 15, 2025
Long-read microbial genome assembly, gene prediction and functional annotation: a service of the MIRRI ERIC Italian node
Sandro Gepiro Contaldo, Antonio d'Acierno, Lorenzo Bosio, et al.
Bioinformatics (Oxford, England)
|
March 12, 2025
UnifiedGreatMod: a new holistic modelling paradigm for studying biological systems on a complete and harmonious scale
Riccardo Aucello, Simone Pernice, Dora Tortarolo, et al.
Gigascience
|
September 9, 2019
rCASC: reproducible classification analysis of single-cell sequencing data
Luca Alessandrì, Francesca Cordero, Marco Beccuti, et al.
British Journal of Haematology
|
May 18, 2021
Application of the Euro Clonality next-generation sequencing-based marker screening approach to detect immunoglobulin heavy chain rearrangements in mantle cell lymphoma patients: first data from the Fondazione Italiana Linfomi MCL0208 trial
Elisa Genuardi, Greta Romano, Marco Beccuti, et al.
International Journal of Molecular Sciences
|
January 28, 2026
Correction: Nosi et al. MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning. <i>Int. J. Mol. Sci.</i> 2021, <i>22</i>, 4217
Vladimir Nosi, Alessandrì Luca, Melissa Milan, et al.
International Journal of Molecular Sciences
|
April 30, 2021
MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning
Vladimir Nosi, Alessandrì Luca, Melissa Milan, et al.
Bioinformatics (Oxford, England)
|
April 20, 2023
CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system
Simone Pernice, Roberta Sirovich, Elena Grassi, et al.
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of 5