Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Project description:With the whole genome SNP array information obtained from tumor and matched normal control, we could evaluate the acquired copy number variations (CNVs) and uniparental disomies (UPDs) . Seven MDS patients in a whole genome sequencing project were included in this experiment.
Project description:modENCODE_submission_4998 This submission comes from a modENCODE project of Kevin White. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: The White Lab is aiming to map the association of all the Transcription Factors (TF) on the genome of Drosophila melanogaster. One technique that we use for this purpose is chromatin immunoprecipitation coupled with deep sequencing (ChIP-seq) utilizing an Illumina next generation sequencing platform. The data generated by ChIP-seq experiments consist basically of a plot of signal intensity across the genome. The highest signals correspond to positions in the genome occupied by the tested TF. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
Project description:modENCODE_submission_4961 This submission comes from a modENCODE project of Kevin White. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: The White Lab is aiming to map the association of all the Transcription Factors (TF) on the genome of Drosophila melanogaster. One technique that we use for this purpose is chromatin immunoprecipitation coupled with deep sequencing (ChIP-seq) utilizing an Illumina next generation sequencing platform. The data generated by ChIP-seq experiments consist basically of a plot of signal intensity across the genome. The highest signals correspond to positions in the genome occupied by the tested TF. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
Project description:modENCODE_submission_4117 This submission comes from a modENCODE project of Kevin White. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: The White Lab is aiming to map the association of the main post-translationally modified histones on the genome of Drosophila melanogaster. One technique that we use for this purpose is chromatin immunoprecipitation coupled with deep sequencing (ChIP-seq) utilizing an Illumina next generation sequencing platform. The data generated by ChIP-seq experiments consist basically of a plot of signal intensity across the genome. The highest signals correspond to positions in the genome occupied by the tested histone modification. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
Project description:modENCODE_submission_4113 This submission comes from a modENCODE project of Kevin White. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: The White Lab is aiming to map the association of all the Transcription Factors (TF) on the genome of Drosophila melanogaster. One technique that we use for this purpose is chromatin immunoprecipitation coupled with deep sequencing (ChIP-seq) utilizing an Illumina next generation sequencing platform. The data generated by ChIP-seq experiments consist basically of a plot of signal intensity across the genome. The highest signals correspond to positions in the genome occupied by the tested TF. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf