Name: Proteomics Data Analysis (Methods in Molecular Biology) (en Inglés)
SKU: 57056420
Price: 117.87 USD
Availability: InStock
Author: Cecconi Daniela

portada Proteomics Data Analysis (Methods in Molecular Biology) (en Inglés)

Proteomics Data Analysis (Methods in Molecular Biology) (en Inglés)

Formato

Libro Físico

Editorial

Humana

Autor

Cecconi Daniela

Idioma

Inglés

N° páginas

344

Encuadernación

Tapa Blanda

ISBN13

9781071616437

N° edición

Proteomics Data Analysis (Methods in Molecular Biology) (en Inglés)

Cecconi Daniela (Autor) · Humana · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 24 días háb.

$ 235.74$ 117.87

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 117.87

Llega entre el 18 Sep y el 01 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Proteomics Data Analysis (Methods in Molecular Biology) (en Inglés)"

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.Chapter 16 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.