Check out the latest from Dr. Lixing Yang in the Ben May Department for Cancer Biology and his collaborators published in @GenomeBiology: An enhanced genetic model of #colorectalcancer progression history
RT @NCIgenomics: Study utilizing allele fractions of single nucleotide variants as molecular clocks while accounting for structural alterat…
RT @NCIgenomics: Study utilizing allele fractions of single nucleotide variants as molecular clocks while accounting for structural alterat…
RT @NCIgenomics: Study utilizing allele fractions of single nucleotide variants as molecular clocks while accounting for structural alterat…
RT @NCIgenomics: Study utilizing allele fractions of single nucleotide variants as molecular clocks while accounting for structural alterat…
Study utilizing allele fractions of single nucleotide variants as molecular clocks while accounting for structural alterations suggests multiple evolutionary models can operate in a single tumor at different stages in #colorectalcancer https://t.co/UOnQfoi
RT @BioDecoded: An enhanced genetic model of colorectal cancer progression history | Genome Biology https://t.co/4fHBXT5ovt #bioinformatic…
RT @BioDecoded: An enhanced genetic model of colorectal cancer progression history | Genome Biology https://t.co/4fHBXT5ovt #bioinformatic…
RT @BioDecoded: An enhanced genetic model of colorectal cancer progression history | Genome Biology https://t.co/4fHBXT5ovt #bioinformatic…
RT @BioDecoded: An enhanced genetic model of colorectal cancer progression history | Genome Biology https://t.co/4fHBXT5ovt #bioinformatic…
An enhanced genetic model of colorectal cancer progression history | Genome Biology https://t.co/4fHBXT5ovt #bioinformatics #CancerResearch https://t.co/29Iufj8Ahz
An enhanced genetic model of colorectal cancer progression history https://t.co/uWpbttYjwa
RT @GenomeBiology: Yang, @ParkLabGenomics and co analyze the timing of mutations in 63 colorectral tumors, identifying key events. Differen…
RT @GenomeBiology: Yang, @ParkLabGenomics and co analyze the timing of mutations in 63 colorectral tumors, identifying key events. Differen…
RT @ParkLabGenomics: Analyzing allelic fractions of SNVs as molecular clocks while accounting for CNVs and SVs, Lixing has painstakingly co…
RT @tangming2005: An enhanced genetic model of colorectal cancer progression history https://t.co/KwZPybenDp
An enhanced genetic model of colorectal cancer progression history https://t.co/KwZPybenDp
An enhanced genetic model of colorectal cancer progression history @GenomeBiology https://t.co/IgTDu76AbC
RT @GenomeBiology: Yang, @ParkLabGenomics and co analyze the timing of mutations in 63 colorectral tumors, identifying key events. Differen…
RT @GenomeBiology: Yang, @ParkLabGenomics and co analyze the timing of mutations in 63 colorectral tumors, identifying key events. Differen…
RT @ParkLabGenomics: Analyzing allelic fractions of SNVs as molecular clocks while accounting for CNVs and SVs, Lixing has painstakingly co…
RT @ParkLabGenomics: Analyzing allelic fractions of SNVs as molecular clocks while accounting for CNVs and SVs, Lixing has painstakingly co…
RT @ParkLabGenomics: Analyzing allelic fractions of SNVs as molecular clocks while accounting for CNVs and SVs, Lixing has painstakingly co…
RT @ParkLabGenomics: Analyzing allelic fractions of SNVs as molecular clocks while accounting for CNVs and SVs, Lixing has painstakingly co…
RT @ParkLabGenomics: Analyzing allelic fractions of SNVs as molecular clocks while accounting for CNVs and SVs, Lixing has painstakingly co…
Analyzing allelic fractions of SNVs as molecular clocks while accounting for CNVs and SVs, Lixing has painstakingly constructed evolutionary history of tumors from bulk WGS data.
RT @GenomeBiology: Yang, @ParkLabGenomics and co analyze the timing of mutations in 63 colorectral tumors, identifying key events. Differen…
Yang, @ParkLabGenomics and co analyze the timing of mutations in 63 colorectral tumors, identifying key events. Different mechanisms act on different regions. Chromothripsis can occur many times in the same tumor. https://t.co/043wHdxWE0 https://t.co/hrF0c