RNA Abundance Analysis

Methods and Protocols

AvHailing Jin,Walter Gassmann

Häftad, Engelska, 2016

Del i serien Methods in Molecular Biology

1 698 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

This volume includes detailed techniques to examine mRNAs, small non-coding RNAs, protein-associated small RNAs, sulfur-containing RNAs, viral and satellite RNAs, RNA isoforms, and alternatively spliced RNA variants from various organisms, as well as key discussions of computational data processing for genome-wide datasets.

Produktinformation

Utgivningsdatum:2016-08-23
Mått:178 x 254 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Methods in Molecular Biology
Antal sidor:231
Förlag:Humana Press Inc.
ISBN:9781493959167

Utforska kategorier

Medicinsk genetik inom Medicin

Innehållsförteckning

SuperSAGE: Powerful Serial Analysis of Gene Expression.- Northern Blot Analysis for Expression Profiling of mRNAs and Small RNAs.- Construction of RNA-Seq Libraries from Large and Microscopic Tissues for the Illumina Sequencing Platform.- Strand-Specific RNA-Seq Applied to Malaria Samples.- RNA In Situ Hybridization in Arabidopsis.- Laser Microdissection of Cells and Isolation of High-Quality RNA After Cryosectioning.- Detection and Quantification of Alternative Splicing Variants Using RNA-Seq.- Separating and Analyzing Sulfur-Containing RNAs with Organomercury Gels.- RNAse Mapping and Quantitation of RNA Isoforms.- Detection and Quantification of Viral and Satellite RNAs in Plant Hosts.- In Situ Detection of Mature miRNAs in Plants Using LNA-Modified DNA Probes.- Small RNA Isolation and Library Construction for Expression Profiling of Small RNAs from Neurospora and Fusarium Using Illumina High Throughput Deep Sequencing.- Isolation and Profiling of Protein-Associated Small RNAs.- New Virus Discovery by Deep Sequencing of Small RNAs.- Global Assembly of Expressed Sequence Tags (ESTs).- Computational Analysis of RNA-Seq.- Identification of MicroRNAs and Natural Antisense Transcript-Originated Endogenous siRNAs from Small-RNA Deep Sequencing Data.