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• HIV-phyloTSI: Subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data

  Estimating the time since HIV infection (TSI) at population level is essential for tracking changes in the global HIV epidemic. Most methods for determining TSI give a binary classification of infections as recent or non-recent within a window of several months, and cannot assess the cumulative impact of an intervention. We developed a Random Forest Regression model, HIV-phyloTSI, which combines measures of within-host diversity and divergence to generate continuous TSI estimates directly from viral deep-sequencing data, with no need for additional variables. HIV-phyloTSI provides a continuous measure of TSI up to 9 years, with a mean absolute error of less than 12 months overall and less than 5 months for infections with a TSI of up to a year. It performs equally well for all major HIV subtypes based on data from African and European cohorts. We demonstrate how HIV-phyloTSI can be used for incidence estimates on a population level.

  Study EGAS50000000895

• Comparison between phenotypic-defined stage of blasts and transcriptional profile

  Established a proof-of-concept methodology with potential integration into flow cytometry software for objective AML subtype classification based on blast differentiation, offering valuable prognostic insights for elderly patients.

  Study EGAS50000000336

• Data Access Committee for Maurice Lab - UMC Utrecht

  The Data Access Committee of the Maurice lab at the Center for Molecular Medicine, University Medical Center Utrecht, is responsible for reviewing and approving requests for access to controlled human transcriptomics and genomics data generated by the lab. The DAC ensures that data access requests are consistent with informed consent, ethical approvals, and applicable legal and institutional regulations, including GDPR.

  Dac EGAC50000000876

• Human tumor ChIP-seq.

  We profiled 15 patient brain tumor samples by ChIP-seq. Inputs are provided for 16 samples, H3K27ac is provided for 15 samples, H3K27me3 is provided for 10 samples and H3K27me3 is provided for 5 samples. The raw bam files are provided.

  Dataset EGAD00001008350

• cfDNA dataset with whole genome sequencing for cfDNA cohort

  Cell free DNA sequencing data for 13samples with whole genome sequencing across multiple cancer types for cfDNA cohort

  Dataset EGAD50000000666

• DIS3 licenses B cells for physiological plasma cell differentiation in humans

  DIS3 licenses B cells for physiological plasma cell differentiation in humans

  Study EGAS50000000853

• RNASeq files for Klco PanAML data

  RNASeq files for paper titled "Proposal of a new genomic framework for categorization of pediatric acute myeloid leukemia associated with prognosis"

  Dataset EGAD00001011294

• WGS data for MMML for Study EGAS00001002199

  Whole genome sequencing data for MMML (tumor/control pairs and one cell_line)

  Dataset EGAD00001003274

• WGS files for Klco PanAML data

  WGS files for paper titled "Proposal of a new genomic framework for categorization of pediatric acute myeloid leukemia associated with prognosis"

  Dataset EGAD00001011295

• WXS files for Klco PanAML data

  WXS files for paper titled "Proposal of a new genomic framework for categorization of pediatric acute myeloid leukemia associated with prognosis"

  Dataset EGAD00001011296