Tag Archives: transcriptome assembly

Next generation sequencing of cellular RNA is making it possible to characterize genes and alternative splicing in unprecedented detail. However, designing bioinformatics tools to capture splicing variation accurately has proven difficult. Current programs find major isoforms of a gene but ...

RNA-seq allows for simultaneous transcript discovery and quantification, but reconstructing complete transcripts from such data remains difficult. Here, researchers from the University of Copenhagen introduce the Bayesembler, a novel probabilistic method for transcriptome assembly built on a Bayesian model of ...

De novo assembled transcriptomes, in combination with RNA-Seq, are powerful tools to explore gene sequence and expression level in organisms without reference genomes. Investigators must first choose which high throughput sequencing platforms will provide data most suitable for their experimental ...

David Tse – Stanford University Symposium on Turbo Codes and Iterative Information Processing Bremen, Germany August 20, 2014 Joint work with Sreeram Kannan and Lior Pachter. Research supported by NSF Center for Science of Information

Minnesota Supercomputing Institute Date: Thursday, September 25, 2014, 01:00 pm – 03:00 pm Location: Room 105 Cargill Building This lecture will go over more advanced RNA-Seq topics and compliments Basics of RNA-seq. Lecture Topics: Non-mammal specific RNA-Seq issues Transcriptome assembly ...

High throughput RNA sequencing (RNA-Seq) can generate whole transcriptome information at the single transcript level providing a powerful tool with multiple interrelated applications including transcriptome reconstruction and quantification. The sequences of novel transcripts can be reconstructed from deep RNA-Seq data, ...

For vertebrate organisms where a reference genome is not available, de novo transcriptome assembly enables a cost effective insight into the identification of tissue specific or differentially expressed genes and variation of the coding part of the genome. However, since ...

Date: Thursday, May 22nd Time: 11AM PST · 2PM EST Duration: 45 minutes Title: The Hows and Whys of RNA-Seq Whether you’re a seasoned researcher or a transcriptomics newbie, an in-depth look at the complexities of RNA-seq analysis can be ...

Transcriptome sequencing has long been the favored method for quickly and inexpensively obtaining a large number of gene sequences from an organism with no reference genome. Due to the rapid increase in throughputs and decrease in costs of next generation ...

Next date: 24.03.2014 – 26.03.2014. Location: Oslo, Norway This introductory level course is focused on experimental design, differential expression analysis and transcriptome assembly using R/Bioconductor and open-source tools. Hands-on analysis exercises will be based on real world data – bring ...