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 ...

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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 ...

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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 ...

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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. ...

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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 ...

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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 ...

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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 ...

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