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    by Nessa CarsonDrawing with FlairAfter much tweaking, I have a set of ChemDraw® settings, not unlike the sturdily-bonded Totally Synthetic stylesheet that went around the chemistry community a few years ...

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OmicsOffice

OmicsOffice helps scientists to import, analyze and validate data generated from genomics studies offering workflows and tools for qPCR, microarray RNA-Seq, and ChIP-Seq experiments.

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    Data Scientists and Bioinfomaticians are not just buzz words, but important roles within an organization ...

    Presenter: Rebecca Laborde, PhD.

    Field Application Scientist, Regional Marketing ...

    This online seminar will demonstrate how RNA-seq analysis in a model organism can provide insights into ...

    Presenter: Alexandra Vamvakidou-Thomas, Ph.D

    Sr. Field Application Scientist, ...

    “TIBCO Spotfire gives users the freedom to explore and gain insights from their results, freeing them from daily tasks like collection, classification, storage, and endless worksheets of biochemical and biological data.”

    Genomics data analyses that explore multi-platform, multi-technologies and integrate the expression and differential ...

    We present an overview of the OmicsOffice Data Integration tool where researchers can quickly integrate and compare genomics results. Specifically, we will examine data from an Illumina RNASeq experiment and compare its ability to identify differentially expressed genes from Affymetrix microarray results

    We address these challenges using OmicsOffice®, an extension to TIBCO Spotfire® focused on genomics data analysis. OmicsOffice makes it easy to analyze and integrate microarray, PCR, RNA-Seq and Chip-Seq data to identify significant targets that were validated across many platforms and technologies.

    The Human BodyMap 2.0 Project (by Ensembl and Illumina) generated RNA-seq data from a broad selection of 16 human tissue types. This public RNA-seq dataset is of an inestimable value and it has been used in many different research projects. However, its high-dimensionality makes it complex to analyze and many biological conclusions may be still hidden.