Enhancing cancer clonality analysis with integrative genomics.

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Single-cell Transcriptome Study as Big Data Proceedings of the 2015 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.

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P2860

Enhancing cancer clonality analysis with integrative genomics.

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Enhancing cancer clonality analysis with integrative genomics.

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Enhancing cancer clonality analysis with integrative genomics.

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Enhancing cancer clonality analysis with integrative genomics.

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Enhancing cancer clonality analysis with integrative genomics.

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Enhancing cancer clonality analysis with integrative genomics.

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Enhancing cancer clonality analysis with integrative genomics.

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P1476

Enhancing cancer clonality analysis with integrative genomics

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P2093

Christoph J Heuck

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Donald J Johann

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Erich A Peterson

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Michael A Bauer

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Niels Weinhold

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Shweta S Chavan

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P2860

Inferring clonal composition from multiple sections of a breast cancer

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

Cancer genome landscapes

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

Initial genome sequencing and analysis of multiple myeloma

Comprehensive molecular portraits of human breast tumours

Fast and accurate short read alignment with Burrows-Wheeler transform

Criteria for inference of chromothripsis in cancer genomes

MYC activation is a hallmark of cancer initiation and maintenance

SciClone: inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution

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1471-2105-16-s13-s7

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scholarly article

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10.1186/1471-2105-16-S13-S7

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16 Suppl 13

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Cody Ashby

Gareth J Morgan

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2015-09-25T00:00:00Z

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RNA-Seq

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4597064

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Enhancing cancer clonality analysis with integrative genomics.

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P2860

P2860

Enhancing cancer clonality analysis with integrative genomics.

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P1433

P1476

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P932