Name: Rna-Seq Data Analysis: A Practical Approach (Chapman & Hall (en Inglés)
Price: 89580.00 CLP
Availability: InStock
Author: Eija Korpelainen; Jarno Tuimala; Panu Somervuo; Mikael Huss; Garry Wong
ISBN: 9781466595002

portada Rna-Seq Data Analysis: A Practical Approach (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Eija Korpelainen; Jarno Tuimala; Panu Somervuo; Mikael Huss; Garry Wong

Año

2014

Idioma

Inglés

N° páginas

322

Encuadernación

Tapa Blanda

ISBN13

9781466595002

N° edición

Categorías

Probabilidad y estadística

Rna-Seq Data Analysis: A Practical Approach (Chapman & Hall (en Inglés)

Eija Korpelainen; Jarno Tuimala; Panu Somervuo; Mikael Huss; Garry Wong (Autor) · Crc Pr Inc · Tapa Blanda

Libro Físico

$ 89.580

$ 149.300

Ahorras: $ 59.720

40% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 29 de Mayo y el Lunes 10 de Junio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Rna-Seq Data Analysis: A Practical Approach (Chapman & Hall (en Inglés)"

The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes. Balanced Coverage of Theory and PracticeEach chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software. The Tools and Methods to Get Started in Your LabTaking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice. It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science. The book can also be used in a graduate or advanced undergraduate course.