Birs- 15w5142: Statistical and Computational Challenges In Bridging Functional Genomics, Epigenomics, Molecular QTLs, and Disease Genetics

  1. Title:
    Efficient RNA isoform identification and quantification from RNA-Seq data with network flows

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  2. Title:
    Statistical analysis of RNA-seq data at different scales

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  3. Title:
    Overcoming bias and batch effects in RNAseq data

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  4. Title:
    Further Statistical Methods for the Analysis of Ribosome Profiling Data

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  5. Title:
    Genetic and transcriptomic analysis of megakaryocytes

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    Genomic imprinting across diverse human tissues

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  7. Title:
    eQTL mapping in iPSC lines

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  8. Title:
    High-coverage RNA-sequencing Reveals Substantial Variation Associated with Geography, Environment and Endophenotypic Variation

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  9. Title:
    Heteroskedastic linear models for functional genomics

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  10. Title:
    Can we rely on eQTLs to understand GWAS peaks?

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  11. Title:
    Differences among individuals and between species

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  12. Title:
    Linear Mixed Models for Genome and Epigenome-Wide Association Studies

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  13. Title:
    Data integration, variant aggregation and combined annotation

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  14. Title:
    Allele specific regulatory activity and its application to disease

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  15. Title:
    Using Networks to Probe Biological Systems

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  16. Title:
    Ensemble framework to infer large-scale causal gene regulatory networks from transcriptomic data

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  17. Title:
    A Two-Stage Algorithm for 3D Genome Reconstruction

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  18. Title:
    Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data

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  19. Title:
    Statistical methods for automated analysis of high- throughput protein localization data

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  20. Title:
    Somatic mutations in two cancer contexts: evolutionary dynamics and gene expression impact

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