Events

 

Upcoming RNA-Seq Data Analysis Webinars

Upcoming RNA-Seq Data Analysis Webinars

Jan Webinar Title: Integrative RNA and ChIP-Seq analysis of regulatory T-cells Link: http://www.strand-ngs.com/files/webinar-integrative-analysis.html Date: 28 Jan 2015 Session 1:  9:30 AM CET Session 2 -  9:00 AM PST Feb Webinar Title: An integrated RNA and DNA approach to unravel genetic regulation in cancer ...

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One Week to RNA-Seq Europe Meeting

One Week to RNA-Seq Europe Meeting

Only 7 days left to until RNA-Seq Europe RNA-Seq Europe 2015 will enable you to overcome the data bottleneck by applying the most appropriate bioinformatics tools and develop a unified, integrated approach for analysis and interpretation of huge data sets. In ...

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RNA-Seq at Plant & Animal Genomes 2015

RNA-Seq at Plant & Animal Genomes 2015

Workshops W047 RNA-Seq Identifies SNPs Associated with Muscle Yield and Quality in Rainbow Trout W160 An RNA-Seq Based Reference Transcriptome for Citrus W203 Unsupervised RNA-Seq-Based Genome Annotation with GeneMark-ET and Augustus W261 Large Dataset Analysis for Undergraduates: Discovery Environment, RNA-Seq ...

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2015 NGS Events – Europe

2015 NGS Events – Europe

NGS 2015 Milan:  Towards Single Cell Analysis INGM, Milan, Italy 10th & 11th March Website:  https://biotexcel.com/event/ngs-2015-milan     NGS 2015 Glasgow:  Applications & Data Analysis Workshop on 21st April Conference on 22-23 April Website:  https://biotexcel.com/event/ngs-2015-glasgow

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Upcoming RNA-Seq Workshops

Upcoming RNA-Seq Workshops

These courses combine lessons and hands-on training and it is particularly suitable for biologists who are new to Next Generation Sequencing technology. The aims of the courses are: facilitate the interaction between wet biologists and bionformaticians providing  to biologists simplified ...

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Integrating transcriptome and genome sequencing

Integrating transcriptome and genome sequencing

A practical webinar highlighting genetic data integration approaches featuring Dr. Tuuli Lappalainen. Explore the power of genome and transcriptome data integration, expand your understanding of genetic variants, and map future research applications.

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