Systematic measurement biases make normalization an essential step in single-cell RNA sequencing (scRNA-seq) analysis. There may be multiple competing considerations behind the assessment of normalization performance, of which some may be study specific. Researchers at UC Berkeley have developed “scone”- ...
Read More »Looking for Loners – A new algorithm opens doors for detecting rare cell types in mRNA sequencing
From The Scientist By Karen Zusi The Paper Individuality The advent of mRNA sequencing for individual cells has given scientists unprecedented insight into the diversity of cell populations once thought to be uniform. But finding an analysis sensitive enough to ...
Read More »RNA-Seq Methods and Algorithms (2015 iPlant Workshop @ UC Davis)
These videos are live recordings from a fall 2015 workshop held at UC Davis. See the workshop wiki for additional materials: http://www.iplantc.org/ucdwiki1 ; see the iPlant website for a free iPlant account: http://www.iplantcollaborative.org
Read More »Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples
Researchers at the Broad Institute have developed a robust RNA sequencing method for generating complete de novo assemblies with intra-host variant calls of Lassa and Ebola virus genomes in clinical and biological samples. This method uses targeted RNase H-based digestion ...
Read More »A Review of the Methods for Processing High-Throughput RNA Sequencing Data
High-throughput sequencing (HTS) methods for analyzing RNA populations (RNA-Seq) are gaining rapid application to many experimental situations. The steps in an RNA-Seq experiment require thought and planning, especially because the expense in time and materials is currently higher and the ...
Read More »Astroid – transcriptome reconstruction on the basis of a flow network
The advancement of RNA sequencing (RNA-seq) has provided an unprecedented opportunity to assess both the diversity and quantity of transcript isoforms in an mRNA transcriptome. In this paper, researchers from the University of Kentucky revisit the computational problem of transcript ...
Read More »Studying the Transcriptome with Next Generation Sequencing
Next-Generation Sequencing is enabling scientists to study the transcriptome in ways never before possible. During this session with Illumina Distinguished Scientist, Dr. Gary Schroth, you will learn how a variety of RNA-Seq methods can be used to profile subsets 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 »Establishing Clinical-Grade RNA Sequencing
from Weill Cornell Medical College News The many different approaches used to sequence RNA, even severely degraded RNA, can produce relatively similar results, a finding that should reassure patients, physicians and scientists faced with a variety of new technologies that ...
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