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Michele Bortolomeazzi

Showing results (1-10 of 14) with videos related to

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Briefings in Bioinformatics|November 11, 2017
A survey of software tools for microRNA discovery and characterization using RNA-seqMichele Bortolomeazzi, Enrico Gaffo, Stefania Bortoluzzi
Biochimica Et Biophysica Acta. Gene Regulatory Mechanisms|October 27, 2019
Identification of non-cancer cells from cancer transcriptomic dataMichele Bortolomeazzi, Mohamed Reda Keddar, Francesca D Ciccarelli, et al.
Bioinformatics (Oxford, England)|December 13, 2023
Rarity: discovering rare cell populations from single-cell imaging dataKaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi, et al.
International Journal of Molecular Sciences|March 8, 2020
MiR&moRe2: A Bioinformatics Tool to Characterize microRNAs and microRNA-Offset RNAs from Small RNA-Seq DataEnrico Gaffo, Michele Bortolomeazzi, Andrea Bisognin, et al.
Genome Biology|January 5, 2019
The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screensDimitra Repana, Joel Nulsen, Lisa Dressler, et al.
Nature Communications|February 10, 2022
A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolutionMichele Bortolomeazzi, Lucia Montorsi, Damjan Temelkovski, et al.
Genome Biology|June 20, 2025
Comparison of spatial transcriptomics technologies using tumor cryosectionsAnne Rademacher, Alik Huseynov, Michele Bortolomeazzi, et al.
Journal of Microscopy|September 14, 2024
Setting up an institutional OMERO environment for bioimage data: Perspectives from both facility staff and usersAnett Jannasch, Silke Tulok, Chukwuebuka William Okafornta, et al.
Genome Biology|January 26, 2022
Comparative assessment of genes driving cancer and somatic evolution in non-cancer tissues: an update of the Network of Cancer Genes (NCG) resourceLisa Dressler, Michele Bortolomeazzi, Mohamed Reda Keddar, et al.
Nature Communications|October 4, 2024
Author Correction: Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineageDavid R Ghasemi, Konstantin Okonechnikov, Anne Rademacher, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Briefings in Bioinformatics|November 11, 2017
A survey of software tools for microRNA discovery and characterization using RNA-seqMichele Bortolomeazzi, Enrico Gaffo, Stefania Bortoluzzi
Biochimica Et Biophysica Acta. Gene Regulatory Mechanisms|October 27, 2019
Identification of non-cancer cells from cancer transcriptomic dataMichele Bortolomeazzi, Mohamed Reda Keddar, Francesca D Ciccarelli, et al.
Bioinformatics (Oxford, England)|December 13, 2023
Rarity: discovering rare cell populations from single-cell imaging dataKaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi, et al.
International Journal of Molecular Sciences|March 8, 2020
MiR&moRe2: A Bioinformatics Tool to Characterize microRNAs and microRNA-Offset RNAs from Small RNA-Seq DataEnrico Gaffo, Michele Bortolomeazzi, Andrea Bisognin, et al.
Genome Biology|January 5, 2019
The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screensDimitra Repana, Joel Nulsen, Lisa Dressler, et al.
Nature Communications|February 10, 2022
A SIMPLI (Single-cell Identification from MultiPLexed Images) approach for spatially-resolved tissue phenotyping at single-cell resolutionMichele Bortolomeazzi, Lucia Montorsi, Damjan Temelkovski, et al.
Genome Biology|June 20, 2025
Comparison of spatial transcriptomics technologies using tumor cryosectionsAnne Rademacher, Alik Huseynov, Michele Bortolomeazzi, et al.
Journal of Microscopy|September 14, 2024
Setting up an institutional OMERO environment for bioimage data: Perspectives from both facility staff and usersAnett Jannasch, Silke Tulok, Chukwuebuka William Okafornta, et al.
Genome Biology|January 26, 2022
Comparative assessment of genes driving cancer and somatic evolution in non-cancer tissues: an update of the Network of Cancer Genes (NCG) resourceLisa Dressler, Michele Bortolomeazzi, Mohamed Reda Keddar, et al.
Nature Communications|October 4, 2024
Author Correction: Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineageDavid R Ghasemi, Konstantin Okonechnikov, Anne Rademacher, et al.
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