Genetics & Genomics · Life Sciences
Genomics
The newest papers in Genomics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
57 papers, from 31 August 2026 to 6 November 2026: 44 arXiv preprints, 8 bioRxiv preprints and 5 OpenAlex records.
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Newest papers, page 2
HELICS: Biobank-scale Conditional Synthetic Genome Generation via Latent Flow Matching
Individual-level genotype data underpin genetic discovery, disease-risk modeling, and therapeutic development, yet many critical settings remain data-limited, including underrepresented ancestries…BARRR: Bidimensional Augmented Reduced Rank Regression for Multi-View Multi-Cohort Data
Bidimensional data integration across multiple cohorts (i.e., sample groups) and views (i.e., sources or modalities) is crucial in biomedical research to derive holistic insights from heterogeneous…HyperTaxa: Multiscale Genome Representations for Generalized Microbial Taxonomic Inference
Reliable microbial taxonomic inference is challenged by the rapid growth of newly sequenced organisms and incomplete reference coverage.Reducing double-dipping in single-cell topic models with three-way count splitting
Topic models learn gene programs from single-cell RNA sequencing (scRNA-seq) data, and the same counts are then used to test which genes and donors are associated with those programs.OmicsBench: a long-horizon multi-turn benchmark of AI agents on research-study-scale bioinformatics
Computational biologists increasingly delegate substantial analyses to AI agents in long-horizon, multi-turn sessions, yet most benchmarks of agents' bioinformatics capabilities pose a single short…Harness-Driven Agentic Operation of Optical Pooled Screen Analysis
Optical pooled screens connect genetic perturbations to changes in cell morphology and behavior, but turning the microscopy data into interpretable results takes complex, multi-day analyses.Understanding Gene Expression-to-Image Learning: Spatial Structure and Information Fidelity
Single-cell RNA sequencing (scRNA-seq) enables cell-level analysis of biological heterogeneity, but learning effective representations from high-dimensional, unordered gene expression profiles…CloneOT: predicting clone-specific perturbation responses with lineage-supervised neural inverse optimal transport
Predicting single-cell perturbation responses requires mapping between two unpaired populations of cells measured before and after the perturbation.Double-Take: Improving Capacity, Binding, and Selectivity In Long-Context Within Bidirectional Memory
Processing a long sequence does not guarantee that distant information remains usable.Predictive Multiplicity in Cell-Fate Assignment: Label-Free Rashomon Sets and the Limits of Per-Cell Certification
Single-cell trajectory inference maps transcriptomic measurements onto developmental continua, yet configurations that fit the data equally well can assign conflicting cell fates.Unlocking the Regulatory Genome by ARGUS: An Evidence-Constrained Agentic Framework for Interpreting Single Nucleotide Variants
Over 90% of disease-associated variants from genome-wide association studies fall in noncoding regulatory regions, yet their functional interpretation remains a central open problem in genomic…Taxonomic Classification with Tag Arrays
Taxonomic classifiers based on exact matches differ in which matches they use and in how each match splits its credit among the taxa containing it: Kraken~2 gives a $k$-mer's credit to the lowest…TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions
Destructive single-cell measurements provide unpaired population snapshots rather than observations of the same cells across conditions.CellMSA: Context Modeling for Single-Cell Representation Learning
Single-cell transcriptomics enables profiling of cellular states at unprecedented resolution, but its high dimensionality, sparsity, and technical batch effects pose significant challenges for…From DNA Design to DNA Slimming: Auditable Agentic Discovery of a Deletion-Only Designer
Compact regulatory DNA can free up space in vector payloads, reduce synthesis and assay burden, and expose which sequence features drive predicted activity.GenoMorph: Pathway-Grounded Genomic Disease Reasoning via Adaptive Latent Computation
Large language models (LLMs) have demonstrated strong capabilities in biological reasoning; however, genomic disease inference remains largely dependent on memorized gene-disease associations rather…GenoTrace: Inheritable Watermarks for Genome Foundation Model Distillation
Can a genome model retain a detectable record of the synthetic sequences used to train it?GenomeOcean Anywhere: Private WebGPU Inference for Genome MoEs
Genome foundation models are most useful where sequences are generated, yet the largest models need datacenter accelerators and a place to send private DNA.CipherGenome: Homomorphic Inference for Genomic Mixture-of-Experts
Genome foundation models are growing into sparse mixture-of-experts (MoE) networks whose expert weights no longer fit on the machines that hold the sequences, yet sending a private genome to rented…Generalizable single-cell perturbation response prediction using energy-guided flow matching
Predicting phenotypic and transcriptional responses to perturbations at single-cell resolution provides a powerful tool for probing biological systems.