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RNA-sequence Analysis – Expression, Isoforms

RNA-sequence Analysis – Expression, Isoforms

MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford This lecture by Prof. David Gifford is about RNA-seq (RNA sequencing), a method of characterizing RNA molecules through next-generation sequencing. He begins with the ...

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Decoding cancer transcriptomes using public RNA-Seq data

Decoding cancer transcriptomes using public RNA-Seq data

Speaker: Dr. Pieter Mestdagh, Ghent University / Biogazelle, Belgium Event: Biogazelle sponsored RNA-sequencing mini-symposium (Ghent – Belgium, Jan. 14, 2015) Genome-wide studies have shown that our genome is pervasively transcribed, producing a complex pool of coding and non-coding transcripts that ...

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Introduction to RNA-Seq Data Analysis

Introduction to RNA-Seq Data Analysis

  RNA-seq provide much more information than gene expression microarrays. In additional to gene expressions, it provides informa8on for: alternative splicing – structural changes of genes: Gene fusion. new genes/exons. splicing efficiency

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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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ChIP-RNA-seq

ChIP-RNA-seq

Intro Biostatistics and Bioinformatics, lec 23 ChIP-seq and RNA-seq presented by Stuart Brown

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Assessing the effects of low-input RNA-seq

Assessing the effects of low-input RNA-seq

Phil Ewels from NGI presents a summary of a low-input and low RIN-value study performed by NGI Stockholm in order to investigate the effects of lower input amounts and RIN-values for RNA-seq analysis of mRNA transcripts. This study did not ...

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