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Dive into efficient analysis of biobank-scale data using Genotype Representation Graphs. Explore innovative methods for estimating coalescence times and inferring whole-genome histories in large population datasets.
Explore innovative approaches to modeling Alzheimer's disease risk using real-world data, focusing on computational genomics techniques and their applications in understanding disease progression and risk factors.
Explore geometric deep learning and optimal transport techniques for uncovering cellular dynamics and metabolism in this insightful computational genomics presentation.
Explore PBWT-based algorithms for large cohort genetics, covering efficient haplotype matching, IBD detection, and innovative approaches like d-PBWT and Syllable-PBWT for genomic data analysis.
Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.
Explore the application of pooled CRISPR screens in biological research. Gain insights into cutting-edge techniques for studying gene function and cellular processes at a genome-wide scale.
Explore the intersection of deep learning and causality, focusing on bridging the gap between these fields. Gain insights into recent advancements and their applications in computational genomics.
Explore a parameter-free framework for fast and accurate sequence alignment, focusing on UniAligner's innovative approach to genomic data analysis and its implications for computational biology.
Explore the evolutionary dynamics of human gut microbiomes through selective sweeps, rapid evolution, and strain turnover. Gain insights into bacterial adaptation within and across hosts.
Explore the complex real-world phenotypic manifestations of Mendelian diseases through Lisa Bastarache's insightful presentation at CGSI 2024, delving into recent research and clinical implications.
Dive into advanced techniques for reconstructing haplotypes using de novo assembly, exploring cutting-edge methods in computational genomics and bioinformatics.
Dive into the challenges of inflation in transcriptome-wide association studies and explore potential solutions in this insightful genomics lecture.
Explore 31 computational methods for detecting spatially variable genes in transcriptomics data, categorized for effective analysis and application in genomics research.
Dive into the fundamentals of Integer Linear Programming with Mohammed El-Kebir, exploring its applications in computational genomics and tumor phylogeny estimation.
Explore the intersection of large datasets, language models, and healthcare with insights on ethical considerations and real-world applications in maternal care and contraception.
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