소장자료

Gene Expression Analysis Methods and Protocols [electronic resource] :

  • Raghavachari, Nalini. editor. , Garcia-Reyero, Nat횪lia. editor.
  • 2018
Gene Expression Analysis Methods and Protocols [electronic resource] :
  • 자료유형
    단행본
  • 서명/저자사항
    Gene Expression Analysis[electronic resource] :Methods and Protocols / edited by Nalini Raghavachari, Nat횪lia Garcia-Reyero.
  • 개인저자
    Raghavachari, Nalini., editor., Garcia-Reyero, Nat횪lia., editor.
  • 단체저자
    SpringerLink (Online service)
  • 형태사항
    XI, 387 p. 84 illus., 72 illus. in color. : online resource.
  • 총서명
    Methods in Molecular Biology,1064-3745 ; 1783
  • 내용주기
    Overview of Gene Expression Analysis ??Transcriptomics -- RNA-Seq and Expression Arrays: Selection Guidelines for Genome-wide Expression Profiling -- A Guide for Designing and Analysing RNA-Seq Data -- SureSelectXT RNA Direct: A Technique for Expression Analysis Through Sequencing of Target-enriched FFPE total RNA -- Simultaneous, Multiplexed Detection of RNA and Protein on the NanoString짰 nCounter짰 Platform -- Transcript Profiling Using Long-read Sequencing Technologies -- Making and Sequencing Heavily-Multiplexed, High-throughput 16S Ribosomal RNA Gene Amplicon Libraries Using a Flexible, Two-stage PCR PROTOCOL -- microRNA Expression Analysis - Next Generation Sequencing -- Identification of Transcriptional Regulators that Bind to Long Noncoding RNAs by RNA Pull Down and RNA Immunoprecipitation -- Single-cell mRNA-Seq using the Fluidigm C1 System and Integrated Fluidics Circuits -- Current and Future Methods for mRNA Analysis: A Drive Towards Single Molecule Sequencing -- Expression Profiling of Differentially Regulated Genes in Fanconi Anemia -- A Review of Transcriptome Analysis in Pulmonary Vascular Diseases -- Differential Gene Expression Analysis of Plants -- High Throughput Sequencing Based Approaches for Gene Expression Analysis -- Network Analysis of Gene Expression -- Analysis of ChIP-Seq and RNA-Seq data with BioWardrobe -- Bayesian Network to Infer Drug-induced Apoptosis Circuits from Connectivity Map Data. .
  • 일반주제명
    Medicine.
    Human genetics.
    Biomedicine.
    Human Genetics.
  • 기본자료 저록
    Springer eBooks
  • 기타형태 저록
    Printed edition: 9781493978335
  • ISBN
    9781493978342
  • 언어
    영어