Publications

Authors:

Cecconi, Daniela

Title:

Proteomics Data Analysis

Year:

2021

Type of item:

Monografia o trattato scientifico

Tipologia ANVUR:

Monografia o trattato scientifico

Language:

Inglese

Publisher:

Daniela Cecconi

ISBN:

978-1-0716-1640-6

Keyword:

Proteomics, Bioinformatics, Statistics

Short description of contents:

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.

Web page:

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

Product ID:

126403

Handle IRIS:

11562/1064155

Last Modified:

March 28, 2023

Bibliographic citation:

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

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