Monthly Archives: August 2012

The simple fool's guide to population genomics via RNA-Seq

The simple fool's guide to population genomics via RNA-Seq

High-throughput sequencing technologies are currently revolutionizing the field of biology and medicine, yet bioinformatic challenges in analysing very large data sets have slowed the adoption of these technologies by the community of population biologists. We introduce the ‘Simple Fool’s Guide ...

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Technical considerations for functional sequencing assays

RNA-Seq The measurement of RNA expression is a foundation of many experiments done in biomedical research. It is therefore natural that the sequencing of long and short RNA both for quantification and discovery is the most popular functional sequencing assay ...

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Next-Gen RNA-Seq Analytical Workshop – Dana Farber

Date: Monday September 24 and Tuesday September 25, 2012 Location: Dana-Farber Cancer Institute, Department of Biostatistics and Computational Biology, Center for Life Science, 3 Blackfan Circle, 11th Floor, Conference Room 11081A RNA-Seq is emerging as a new tool to study ...

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Hands-on RNA-seq data analysis workshop

A two-hour workshop offered in conjunction with the 2012 BG Retreat and featuring an introduction to next-gen sequencing and RNA-seq, demo on data processing in R, and hands-on RNA-seq analysis exercises Get started processing raw Illumina data and learn how ...

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shortran: A pipeline for small RNA-seq data analysis

High-throughput sequencing currently generates a wealth of small RNA (sRNA) data, making data mining a topical issue. Processing of these large data-sets is inherently multidimensional as length, abundance, sequence composition, and genomic location all hold clues to sRNA function. Analysis ...

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RNA-Seq in the Ensembl Genebuild

What are the RNA-Seq models in Ensembl, and how were they determined? How does RNA-Seq data contribute to Ensembl gene sets? Can I upload my own RNA-Seq data to Ensembl? Answers to these questions and more…

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New Microarray Based Capture Method – CoNECT

A team led by researchers at University of Iowa has developed a microarray enrichment methodology followed by long-read, next-generation sequencing for identification of unannotated transcript isoforms expressed in two Drosophila tissues, the ovary and the testis. They have dubbed the ...

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