Dr. Andrew Fellowes of the Peter MacCallum Cancer Centre discusses how his team uses the MiSeq System and TruSeq Amplicon – Cancer Panel for comprehensive profiling of tumor samples for a wider range of mutations than is possible with traditional technologies.
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Nicholas J. Schork, PhD speaks about whole human genome variation, cancer driver mutations, and clinical sequencing.
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Kenneth Bloom, MD, FCAP, Chief Medical Officer at Clarient (GE Healthcare), discusses the practical aspects of how cancer gene sequencing will be applied in the clinical laboratory.
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Christopher Mason, Assistant Professor in the Department of Physiology and Biomedicine at Weill Cornell Medical College, describes how tumor evolution can be tracked by sequencing the transcriptome, epigenome, and epitranscriptome of cancer samples.
View VideoLuis Diaz, MD, Associate Professor of Oncology at Ludwig Center for Cancer Genetics and Therapeutics at Johns Hopkins, discusses the use of Illumina sequencing to detect ovarian and endometrial cancers.
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Dr. Patrick Hurban discusses RNA-Seq using degraded and FFPE-derived RNA.
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Learn about RNA-Seq for transcriptome analysis of single cells.
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Researchers devised an approach to sequence single cells from triple negative breast cancer by naturally duplicating cellular DNA. With this new technology, researchers are better able to characterize the heterogeneous microenvironment of the tumor.
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Alex Dickinson, senior VP of cloud genomics, explains how BaseSpace Sequence Hub helps researchers easily run leading-edge bioinformatics tools.
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This video describes how to log into BaseSpace Sequence Hub to access tumor-normal sequencing data. It also provides a brief description of the BaseSpace Hub Project page and describes the data contained within each section.
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This video reviews the findings in the report produced following the Cancer Sequencing Workflow. The Cancer Sequencing Workflow is the analysis software available through the Illumina Genome Network cancer analysis service.
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This video shows how to load the tumor sequencing data into the Broad Institute Integrative Genomics Viewer (IGV), a free app available in BaseSpace Sequence Hub. It demonstrates how to load the files within this project for visualization, and provides a brief orientation to navigation within IGV.
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This video shows how to use IGV to visualize variants identified between tumor and normal samples. This example highlights an indel in TP53 and a translocation between chromosomes 1 and 8.
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