Bioinformatics Training
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Bioinformatics Training
Bioinformatics, blended with education and health sciences subjects
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GTPB: NDARC16 - NGS Data Analysis, RNAseq, ChIPseq - Home

GTPB: NDARC16 - NGS Data Analysis, RNAseq, ChIPseq - Home | Bioinformatics Training | Scoop.it
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Applications are Open, please visit http://gtpb.igc.gulbenkian.pt/bicourses/NDARC16/
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Benchmarking RNA-Seq quantification tools

Benchmarking RNA-Seq quantification tools | Bioinformatics Training | Scoop.it
RNA-Seq, a deep sequencing technique, promises to be a potential successor to microarrays for studying the transcriptome. One of many aspects of transcriptomics that are of interest to researchers is gene expression estimation.

Via Ali Taheri
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Life Technologies Releases New Research Tool: Oncomine NGS RNA-Seq ... - Business Wire (press release)

Life Technologies Releases New Research Tool: Oncomine NGS RNA-Seq ... - Business Wire (press release) | Bioinformatics Training | Scoop.it
Life Technologies Releases New Research Tool: Oncomine NGS RNA-Seq ...
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TA-AFADM13 Transcriptome Assembly, Automatic Annotation and Data Mining

TA-AFADM13 Transcriptome Assembly, Automatic Annotation and Data Mining | Bioinformatics Training | Scoop.it

This is a combined course in RNA-seq and functional annotation aimed at scientists working in next generation sequencing transcriptomics who want to extract the best possible information from their data.

The first part of the course is a practical tutorial on Blast2GO, the most popular framework for functional annotation of sequences. Participants will also learn how to generate de novo functional labels, such as GO terms and KEGG pathways, for their sequence data and how to extract relevant information from these annotations, i.e. visualization and enrichment analysis using the Gene Ontology. The second part of the course covers many relevant aspects of RNA-seq analysis, form quality control, to mapping, reconstruction of transcripts and differential expression. Participants will learn how to deal with RNAseq data both in the presence and absence of a reference genome.

At the end of the course, participants can expect to have acquired skills to use multiple software tools to analise RNA-seq data and use Blast2GO.

The course will be based on the use of Blast2GO application and will mainly comprise exercises and practical cases. Participants may bring their own data.

Who should attend? Experimentalists and bioinformaticians working on EST, NextGeneration Sequencing and microarray design projects, specially (but not exclusively) of non-model species. No programming knowledge is required.

 

Course Pre-requisites:

Basic knowledge in Molecular Biology and Statistics.

 

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with Ana Conesa and Fernando Garcia-Alcalde

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