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Tutorial RNASeq of comparative transcriptomics based on the species Sparus aurata

  1. Página Principal
  2. Nuestros cursos
  3. Tutorial RNASeq differential expression
  4. 2.1.1 - Preparing your experiment
◄2. STEP-BY-STEP MODE TUTORIAL3. PIPELINE MODE TUTORIAL►
  • CONTENTS
  • 1. PRELIMINARY INFORMATION
    • 1.1 - Tutorial objective
    • 1.2 - Tutorial material and case study
    • 1.3 - Experiment design and support
    • 1.4 - Installing and activating RNASeq and the Server-Side
  • 2. STEP-BY-STEP MODE TUTORIAL
    • 2.1. - TOPHAT/HISAT2 & CUFFLINKS
      • 2.1.1 - Preparing your experiment
      • 2.1.2 - Quality analysis and preprocessing
      • 2.1.3 - Mapping
      • 2.1.4 - Transcriptome Assembly
      • 2.1.5 - Differential Expression analysis
      • 2.1.6 - GOSeq
    • 2.2. - MAPPING & COUNTING PROTOCOL
      • 2.2.1 - Preparing your experiment
      • 2.2.2 - Quality analysis and preprocessing
      • 2.2.3 - Mapping
      • 2.2.4 - Postprocessing
      • 2.2.5 - Differential Expression analysis
  • 3. PIPELINE MODE TUTORIAL
    • 3.1 - TopHat/Hisat2 & Cufflinks protocol
    • 3.2 - Mapping & Counting protocol
  • 4. BIBLIOGRAPHY
  • CITE US
  • 2.1.1 - Preparing your experiment

    When you have already downloaded the tutorial material, open RNASeq and set a directory folder to where you want the aforementioned material on your PC (e.g., your desktop). The space left of the directory browser is the FTP browser for RNAseq. This connects to the directory folder on your PC with your user account on the local host site of the server side. Right click in the FTP browser and create a folder named Tophat_cufflinks. Next, enter this folder and create the following subfolders:


    00_raw_data: folder to deposit the fastq files (BI1-BI5 and BC1-BC4) of both groups. If the fastq files are compressed, you must unzip them.

    01_quality_analysis: folder to deposit the results of the preprocessing analysis .

    02_preprocessed_reads: folder to deposit the results of the preprocessing analysis.

    03_refseq: folder to deposit for the fSpaAur1.1 reference genome and its GTF.

    04_ mapping: folder to deposit for the results from mapping step.  

    05_transcriptome assembly: folder to deposit the results from the transcriptome assembly and quantification. 

    06_differential_expression: folder to deposit the results of the differential expression analysis.

    07_ go_enrichment_analysis: folder to deposit for the GO enrichment results from GOseq analysis.

    Next, use the FTP browser to move the 9 fastq files from your PC directory browser to the folder 00_raw_data in your local host account on the server side. Then, use the FTP browser to move the fSpaAur1.1 reference genome, the GTF to folder 03_refseq, and the data sets needed for GO enrichment to folder 07_ go_enrichment_analysis. The whole process is shown in Video 1.

    Video 1. Setting directory folder and organizing the user account before starting 

    ◄2.1. - TOPHAT/HISAT2 & CUFFLINKS 2.1.2 - Quality analysis and preprocessing►
    • Página Principal
    • Calendario
    • Secciones del curso
      • CONTENTS
      • 1. PRELIMINARY INFORMATION
      • 1.1 - Tutorial objective
      • 1.2 - Tutorial material and case study
      • 1.3 - Experiment design and support
      • 1.4 - Installing and activating RNASeq and the Server-Side
      • 2. STEP-BY-STEP MODE TUTORIAL
      • 2.1. - TOPHAT/HISAT2 & CUFFLINKS
      • 2.1.1 - Preparing your experiment
      • 2.1.2 - Quality analysis and preprocessing
      • 2.1.3 - Mapping
      • 2.1.4 - Transcriptome Assembly
      • 2.1.5 - Differential Expression analysis
      • 2.1.6 - GOSeq
      • 2.2. - MAPPING & COUNTING PROTOCOL
      • 2.2.1 - Prepare your experiment for the mapping & counting analysis
      • 2.2.2 - Quality analysis and preprocessing
      • 2.2.3 - Mapping
      • 2.2.4 - Postprocessing
      • 2.2.5 - Differential Expression analysis
      • 3. PIPELINE MODE TUTORIAL
      • 3.1 - TopHat/Hisat2 & Cufflinks protocol
      • 3.2 - Mapping & Counting protocol
      • 4. BIBLIOGRAPHY
      • Pipeline mode: Tophat & Cufflinks protocol results
      • Pipeline mode: Mapping & Counting protocol results
      • CITE US
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