32 research outputs found

    Laser Sounder Approach for Global Measurement of Tropospheric CO2 Mixing Ratio from Space

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    We report progress in assessing the feasibility of a new satellite-based laser-sounding instrument to measure CO2 and other trace gas abundances in the lower troposphere from space

    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

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    Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

    Assessing the Versatility of Molecular Modelling as a Strategy for Predicting Gas Adsorption Properties of Chalcogels

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    International audienceModelling gas adsorption of porous materials is nowadays an undeniable necessary in order to complement experiment findings with the purpose to enrich our fundamental understanding of adsorption mechanisms as well as develop better performing materials for gas mixture separation. In this contribution, we explore the possibility to use first-principles molecular dynamics (FPMD) and grand canonical Monte Carlo (GCMC) simulations to target the gas adsorption of disordered nanoporous chalcogenides (i.e. chalcogels). This computational scheme allows us to take advantage of the ability of FPMD to accurately describe the structure and bonding of the disordered nature of chalcogels as well as the potential of GCMC to model the adsorption mechanisms of porous networks. We assess the versatility of such scheme by evaluating the role of pore size, chemical stoichiometry and composition for multiple chalcogenide-based systems on nitrogen adsorption isotherms
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