RNA sequencing (RNA-seq) has become an indispensable tool to identify disease associated transcriptional profiles and determine the molecular underpinnings of diseases. However, the broad adaptation of the methodology into the clinic is still hampered by inconsistent results from different RNA-seq ...
Read More »University of Helsinki researchers using single cell RNA-Seq to investigate autoimmune diseases
Dolomite Bio’s Single Cell RNA-Seq System is helping researchers at the University of Helsinki to investigate autoimmune diseases. Focusing on gastrointestinal conditions – such as coeliac disease and inflammatory bowel disease – the Molecular Genetics of Immunological Diseases group is ...
Read More »SePIA – RNA and small RNA sequence processing, integration, and analysis
Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual processing and integrated analysis of both small RNA and complementary RNA data ...
Read More »The rate of new microarray studies submitted to public databases far exceeds the rate of new RNA-Seq studies
Rapidly growing public gene expression databases contain a wealth of data for building an unprecedentedly detailed picture of human biology and disease. This data comes from many diverse measurement platforms that make integrating it all difficult. Although RNA-sequencing (RNA-seq) is ...
Read More »Assessing allele-specific expression across multiple tissues from RNA-Seq read data
RNA sequencing enables allele-specific expression (ASE) studies that complement standard genotype expression studies for common variants and, importantly, also allow measuring the regulatory impact of rare variants. The Genotype-Tissue Expression project (GTEx) is collecting RNA-seq data on multiple tissues of ...
Read More »Bitseq found to produce the most accurate measures of gene expression
RNA-sequencing data analysis method BitSeq developed by Academy Research Fellow Antti Honkela?s research group and University of Manchester researchers has been found to be the most accurate gene transcript expression estimation method in a large international assessment. The method is ...
Read More »MAMBA – Assessing allele specific expression across multiple tissues from RNA-seq read data
RNA sequencing enables allele specific expression (ASE) studies that complement standard genotype expression studies for common variants and, importantly, also allow measuring the regulatory impact of rare variants. The Genotype-Tissue Expression project (GTEx) is collecting RNA-seq data on multiple tissues ...
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