Date: Thursday, April 20, 2017 Time: 10:00am – 12:00pm Location: Cushing/Whitney Medical Library, Room 103 TCC, 333 Cedar St, New Haven CT 06520 Campus: Medical School Categories: Bioinformatics In Collaboration with Robert Bjornson, Ph.D, Yale Center for Research Computing This ...
Read More »Bioinformatics for Novel Long Intergenic Noncoding RNA (lincRNA) Identification
Long intergenic noncoding RNAs (lincRNAs) , which are larger than 200 nucleotides and transcribed from the intergenic regions of protein coding genes, have been shown by accumulating findings to be widely expressed and extensively functional in many cellular processes. Nevertheless, ...
Read More »Alpine – modeling and correcting fragment sequence bias in transcript abundance estimation
Current computational methods for estimating transcript abundance from RNA-seq data can lead to hundreds of false-positive results. Researchers from the Dana-Farber Cancer Institute show that these systematic errors stem largely from a failure to model fragment GC content bias. Sample-specific ...
Read More »Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation
Current computational methods for estimating transcript abundance from RNA-seq data can lead to hundreds of false-positive results. Researchers from the Dana-Farber Cancer Institute show that these systematic errors stem largely from a failure to model fragment GC content bias. Sample-specific ...
Read More »Implementation of an Open Source Software solution for Laboratory Information Management and automated RNA-seq data analysis
Large-scale cancer genomics initiatives and next-generation sequencing for transcriptome profiling allow for detailed molecular characterization of tumors, and provide opportunities for clinical tools to improve diagnosis, prognosis, and treatment decisions. Laboratory information, data management, and data sharing in large-scale genomics ...
Read More »NMFP – a non-negative matrix factorization based preselection method to identify mRNA isoforms from RNA-seq data
The advent of next-generation RNA sequencing (RNA-seq) has greatly advanced transcriptomic studies, including system-wide identification and quantification of mRNA isoforms under various biological conditions. A number of computational methods have been developed to systematically identify mRNA isoforms in a high-throughput ...
Read More »ASE-TIGAR – A Bayesian approach for estimating allele-specific expression from RNA-Seq data with diploid genomes
RNA-sequencing (RNA-Seq) has become a popular tool for transcriptome profiling in mammals. However, accurate estimation of allele-specific expression (ASE) based on alignments of reads to the reference genome is challenging, because it contains only one allele on a mosaic haploid ...
Read More »Analysis of RNA-Seq Data Using TopHat and Cufflinks
The recent advances in high throughput RNA sequencing (RNA-Seq) have generated huge amounts of data in a very short span of time for a single sample. These data have required the parallel advancement of computing tools to organize and interpret ...
Read More »Tiling Assembly – a new tool for reference annotation-independent transcript assembly and novel gene identification by RNA-sequencing
Annotation of complex genomes has evolved significantly but many remain far from complete. Several published transcript assembly programmes were tested on RNA-sequencing (RNA-seq) data to determine their effectiveness in identifying novel genes to improve the rice genome annotation. The assembly ...
Read More »RAP – RNA-Seq Analysis Pipeline, a new cloud-based NGS web application
The study of RNA has been dramatically improved by the introduction of Next Generation Sequencing platforms allowing massive and cheap sequencing of selected RNA fractions, also providing information on strand orientation (RNA-Seq). The complexity of transcriptomes and of their regulative ...
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