Daniele Mercatelli

Junior Assistant Professor

University of Bologna

Italy

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About

Daniele Mercatelli is a Junior Assistant Professor at the University of Bologna, Italy. His research focuses on biomarker development in cancer, the structural genetics of SARS-CoV-2, and the relationship between metabolic profiles and transcriptomics data. He has contributed to various studies addressing opioid addiction and cognitive impairment, as well as advancements in bioinformatics through the R language.

Articles (11)

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

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2022

Year:

2022

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2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (8)

Pietro Hiram Guzzi

Associate Professor

University of Catanzaro

ITALY

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Randall Peterson

University of Utah

UNITED STATES

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Federico Giorgi

Associate Professor

University of Bologna

ITALY

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Mariangela Santorsola

Junior Assistant Professor in Bioinformatics

University of Pavia

ITALY

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Celine Lefebvre

Head of Computational Medicine

Institut de recherches Servier

FRANCE

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Giovanni Perini

University of Bologna

ITALY

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Giordano de Guglielmo

Assistant Professor

University of California, San Diego

UNITED STATES

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Michelle L. Hastings

University of Michigan

UNITED STATES

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Daniele Mercatelli

Research Interests

Explore related searches

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About

Articles (11)

Quantitative and qualitative detection of tRNAs, tRNA halves and tRFs in human cancer samples: Molecular grounds for biomarker development and clinical perspectives

Escalated (Dependent) Oxycodone Self-Administration Is Associated with Cognitive Impairment and Transcriptional Evidence of Neurodegeneration in Human Immunodeficiency Virus (HIV) Transgenic Rats

Corticosteroid sensitization drives opioid addiction.

Structural genetics of circulating variants affecting the SARS-CoV-2 spike/human ACE2 complex

Detection of pan-cancer surface protein biomarkers via a network-based approach on transcriptomics data

The R Language: An Engine for Bioinformatics and Data Science

Prediction of Metabolic Profiles from Transcriptomics Data in Human Cancer Cell Lines

Preliminary report on severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) Spike mutation T478K

The Transcriptome of SH-SY5Y at Single-Cell Resolution: A CITE-Seq Data Analysis Workflow

Single-Cell Gene Network Analysis and Transcriptional Landscape of MYCN-Amplified Neuroblastoma Cell Lines

Coronapp: A web application to annotate and monitor SARS-CoV-2 mutations.

Collaborators (8)

Pietro Hiram Guzzi

Randall Peterson

Federico Giorgi

Mariangela Santorsola

Celine Lefebvre

Giovanni Perini

Giordano de Guglielmo

Michelle L. Hastings

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