Pubblicazioni

Autori:

Cecconi, Daniela

Titolo:

Proteomics Data Analysis

Anno:

2021

Tipologia prodotto:

Monografia o trattato scientifico

Tipologia ANVUR:

Monografia o trattato scientifico

Lingua:

Inglese

Casa editrice:

Daniela Cecconi

ISBN:

978-1-0716-1640-6

Parole chiave:

Proteomics, Bioinformatics, Statistics

Breve descrizione dei contenuti:

This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.

Pagina Web:

https://link.springer.com/book/10.1007/978-1-0716-1641-3#affiliations

Id prodotto:

126403

Handle IRIS:

11562/1064155

ultima modifica:

28 marzo 2023

Citazione bibliografica:

Cecconi, Daniela, Proteomics Data Analysis , Daniela Cecconi , 2021

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo