#4 · Genomics
Comparative genomics partitions duplication, transfer and synteny across lineages
The common thread is the use of high-quality genome sequences as the substrate for comparative inference about genome architecture. The Asgard archaea phylogenomic study explicitly partitions genome expansion, attributing it mainly to gene duplication rather than horizontal transfer, with transfers concentrated in peripheral metabolic genes. The Palythoa assemblies, described as new high-quality genomes from an early divergent hexacorallian, enable comparison of symbiosis genes and bacterial polyketide synthases linked to palytoxin. Synolog supplies the methodological layer: a scalable, benchmarked synteny framework that identifies orthologs, synteny clusters, retrogenes and segmental duplications across genomes. What is new is the explicit duplication-versus-transfer partitioning in an archaeal lineage, paired with a scalable tool for characterizing genome architecture. The items are heterogeneous in scope, so the shared element is methodological rather than a common biological finding.
Published papers
Categorization and analysis of 16 computational methods for estimating cell potency from single-cell RNA-seq data.
Review and unified mathematical categorization of 16 computational methods estimating cell potency from scRNA-seq, grouped as average-based, entropy-based, and…
Integrating Gaussian Accelerated Molecular Dynamics, β-Variational Autoencoders, and Markov State Models Reveals the Activation Landscape of FGFR3 Kinase.
Introduces an integrated GaMD-βVAE-MSM pipeline combining accelerated molecular dynamics, variational autoencoders, and Markov state models to map FGFR3 kinase…
Preprints
Building virtual cell dynamics that evolve with biological measurements
CellCompass, an agentic AI system with an extensible dynamical engine, builds single-cell virtual-cell dynamical models and introduces DynBench100, a…
Interactome-based deep learning and path-level decomposition reveal TGFβ-IFNα competition in MASH
Interactome-based deep learning (DT-LEMBAS) ensemble with Jacobian chain-rule decomposition maps TGFβ-IFNα competition in MASH hepatocyte signaling, validated…
Identification of gene kinetics patterns improves RNA velocity and cell fate prediction using JuloVelo
JuloVelo is a deep learning RNA velocity framework that initializes networks with gene kinetics patterns, improving cell fate prediction across eight…
flashscenic: Accelerated GRN Analysis with RegDiffusion for Large-Scale Single-Cell Data
flashscenic: GPU-accelerated SCENIC GRN inference, 12-27x faster than pySCENIC with r=0.9996 equivalence; benchmarks consensus strategies and TF-activity batch…
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