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Genetic diversity within tumors suggests continuous evolution - Vimarsana News

Genetic diversity within tumors suggests continuous evolution

Date Time Genetic diversity within tumors suggests continuous evolution By analyzing tumors from more than 2,600 patients and from 38 cancer types, researchers from The University of Texas MD Anderson Cancer Center and fellow member institutions of the international Pan-Cancer Analysis of Whole Genomes Consortium have characterized the extensive genetic diversity across cancer and within individual tumors. The study, published today in Cell, found that 95% of the analyzed tumors had at least one subclone, or genetically distinct group of tumor cells, and these subclones were often very divers...

New tool differentiates between cancer and normal cells - Vimarsana News

New tool differentiates between cancer and normal cells

In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from the University of Texas MD Anderson Cancer

New computational technique differentiates between cancer and normal cells within tumour samples: Study - Vimarsana News

New computational technique differentiates between cancer and normal cells within tumour samples: Study

Washington [US], January 19 (ANI): In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from the University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples.

Source: aninews.in
New computational tool reliably differentiates between cancer and normal cells from single-cell RNA-sequencing data - Vimarsana News

New computational tool reliably differentiates between cancer and normal cells from single-cell RNA-sequencing data

Credit: MD Anderson Cancer Center HOUSTON — In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from The University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples. The work was published today in Nature Biotechnology. The new tool, dubbed CopyKAT (copy number karyotyping of aneuploid tumors), allows researchers to more easily examine the complex data obtained from large single-cell ...