News:Trinity Workshop: De novo Transcriptome Assembly, Annotation, and Downstream Expression Studies. Berlin 12-16 June (4 places left)
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7.1 years ago
carlopecoraro2 ★ 2.5k

Dear all,

We'll be hosting a Trinity workshop in Berlin, Germany during June 12-16 and we have the last 4 spots left.

Course info is here:

https://www.physalia-courses.org/courses/course11/

Instructor: Brian Haas (Broad Institute).

Application deadline is: May 12th , 2017.

If you know anyone that might be interested, please forward this along!

Best,
C.

next-gen Assembly RNA-Seq • 1.6k views
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7.0 years ago
carlopecoraro2 ★ 2.5k

Monday 12th – Classes from 09:30 to 17:30

Session 1- Intro to the Trinity RNA-Seq workshop

       Intro to RNA-Seq
       Intro to next-gen sequence analysis
     Overview of unix and workshop setup

o Practical: exploring the computational infrastructure

        Read quality assessment and trimming

o Practical: using FASTQC and TRIMMOMATIC


Tuesday 13th – Classes from 09:30 to 17:30

Session 2-Trinity de novo assembly, expression quantitation, and assembly QC

         Overview of Trinity de novo transcriptome assembly

o Practical: assemble rna-seq data using Trinity

        Intro to expression quantification using RNA-Seq

o Practical: quantify expression for Trinity assembly

        Initial data exploration:  assembly quality, and QC samples and replicates

o Practical: using IGV

o Practical: replicate correlation matrix and PCA


Wednesday 14th – Classes from 09:30 to 17:30

Session 3- Differential expression analysis

       Overview of statistical methods for differential expression (DE).

o Practical: using Bioconductor tools for DE analysis.

  Transcript clustering and expression profiling

o Practical: generating heatmaps and extracting transcript clusters.


Thursday 15th – Classes from 09:30 to 17:30

Session 4-Functional annotation and Functional enrichment studies

      Overview of methods for functional annotation

o Practical: applying Trinotate to find coding regions in transcripts and predict biological function.

 Overview of functional enrichment analysis

o Practical: applying GOseq to identify significantly enriched Gene Ontology categories among transcript clusters.


Friday 16th – Classes from 09:30 to 17:30

Session 5- Review and custom data analyses

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