Tag Archives: microarray

XSAnno – a framework for building ortholog models in cross-species transcriptome comparisons

rna-seq

The accurate characterization of RNA transcripts and expression levels across species is critical for understanding transcriptome evolution. As available RNA-seq data accumulate rapidly, there is a great demand for tools that build gene annotations for cross-species RNA-seq analysis. However, prevailing ...

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RNA-Seq with iReport and InSilico DB

rna-seq

RNA-Seq, or transcriptome sequencing, continues to be an exciting way to explore gene expression using next-generation sequencing (NGS). But for many researchers, the interpretation of RNA-Seq data remains a daunting task because they are using spreadsheets to read transcript names ...

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Introduction to RNA-Seq and its Applications to Drug Discovery and Development

rna-seq

The research and development (R&D) process in modern drug discovery and development is a challenging task. One of the reasons is because the biological system is complex. There are 20,000–25,000 genes in the human genome. Using traditional test methods such ...

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Study finds RNA-Seq, like microarrays, only accurate for relative expression, not absolute quantitation

rna-seq

The collborators at the SEQC/MAQC-III Consortium present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference ...

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Hypoxic signature of microRNAs in glioblastoma: insights from small RNA deep sequencing

rna-seq

Hypoxia is a critical aspect of the glioma microenvironment and has been associated with poor prognosis and resistance to various therapies. However, the mechanisms responsible for hypoxic survival of glioma cells remain unclear. Recent studies strongly suggest that microRNAs act ...

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Lecture – Basics of RNA-Seq for Differential Gene Expression

rna-seq

  Date: Tuesday, September 23, 2014, 10:00 am – 12:00 pm Location: 402 Walter Instructor(s):   This lecture will provide a basic overview of DGE analysis from RNA-Seq data. Lecture Topics: – RNA-Seq vs Microarray – Experimental Design – Sequencing ...

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