RNA-Seq Blog Transcriptome Research & Industry News
Monthly Archives: February 2011
Statistics Meeting Focused on RNA-Seq Data Handling
Joint Statistical Meeting July 30th-August 4th, 2011 Miami Beach, Fl Sharing Information Across Genes to Estimate Overdispersion in RNA-seq Data Steven Peder Lund, Iowa State University; Dan Nettleton, Iowa State University31/2011 Differential expression analysis for paired RNA-seq data Lisa M ...
Read More »Sea Urchin microRNAome Uncovered via RNA-Seq and Microarray
Sea urchins in the genus Strongylocentrotus are important research models in many areas of bioscience including developmental and cell biology, reproductive biology and evolutionary biology. The purple urchin, specifically S.nudus is one of the most economically important marine animals as ...
Read More »Pacific Biosciences Posts $140M Loss, $1.7M in Revenues for 2010
from GenomeWeb NEW YORK (GenomeWeb News) – Pacific Biosciences reported after the close of the market Tuesday an increase in its grant revenues for the fourth quarter and full-year 2010, and a $140.2 million loss for the year as it ...
Read More »Industry Press
02/03/2011 – 09:01 AM Now Supporting Paired-End Data For RNA-seq With New Version of Premier Desktop Software Package From CLC bio 02/03/2011 – 08:30 AM Partek and Ion Torrent Announce Partnership to Deliver Scalable Software Solutions for Ion Torrent Sequencing ...
Read More »RNA-Seq at the upcoming ABRF Meeting
Workshop Presentations (W14-1) Tools for Next Generation Sequencing Data Analysis K. Bodi Tufts University School of Medicine, Tufts University Core Facility, Boston, MA, United States As NGS technology continues to improve, the amount of data generated per run grows exponentially. ...
Read More »microRNA Isoform Target Prediction by RNA-Seq
Computational prediction of microRNA targets remains a challenging problem. The existing rule-based, data-driven and expression profiling approaches to target prediction are mostly approached from the gene-level. The advent of next-generation sequencing technologies provides new opportunities to profile transcriptomes and microRNA ...
Read More »microRNA Discovery by RNA-Seq
MicroRNAs (miRNAs) are key regulators of gene expression and contribute to a variety of biological processes including cell growth, differentiation, and development. Abnormal microRNA expression has been reported in various diseases including various cancers, cardiovascular disease, and neurological disorders. Therefore ...
Read More »Combined use of Exome and Transcriptome Sequencing
To identify potential tumor suppressor genes, genome-wide data from exome and transcriptome sequencing were combined to search for genes with loss of heterozygosity and allele-specific expression. The analysis was conducted on the breast cancer cell line HCC1954, and a lymphoblast ...
Read More »Whole transcriptome sequencing reveals gene expression and splicing differences in brain regions affected by Alzheimer's disease.
Recent studies strongly indicate that aberrations in the control of gene expression might contribute to the initiation and progression of Alzheimer’s disease (AD). In particular, alternative splicing has been suggested to play a role in spontaneous cases of AD. This ...
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