Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Inferring virtual cell environments using multi-agent reinforcement learning

Single cells interact continuously to form a cell environment that drives key biological processes. ...

Computational redesign of a thermostable T7 RNA polymerase

T7 RNA polymerase (T7 RNAP) is a foundational enzyme for biotechnology, but its utility for many pot...

SARS-CoV-2 Variant-Dependent Alterations in Nasopharyngeal Microbiota and Host Inflammatory Response

The SARS-CoV-2 pandemic saw multiple outbreaks occur over short periods. This was linked to the viru...

CDR Conformation Aware Antibody Sequence Design with ConformAb

Antibody lead optimization methods seek to enhance a lead candidate’s therapeutic properties through...

Integrative transcriptomic analysis identifies miR-642a-5p as a regulator of POFUT1 expression in colon cancer

Colorectal cancer (CRC) is one of the most common and deadly cancers worldwide, underscoring the urg...

A Minimal Plasma Proteome-Based Biomarker Panel for Accurate Prostate Cancer Diagnosis

Early and accurate diagnosis of prostate cancer (PRC) remains a major clinical challenge, particular...

Sequence-aware Prediction of Point Mutation-induced Effects on Protein-Protein Binding Affinity using Deep Learning

Amino acid mutations may lead to significant changes in the binding affinity of protein complexes, t...

Automated Annotation of Plant Gene Regions Using Supervised Machine Learning

Rapid sequencing now enables analysis across many species, including plants, but repeat-rich, redund...

Fine-Tuning Protein Language Models Enhances the Identification and Interpretation of the Transcription Factors

Transcription factors (TFs) are pivotal regulators of gene expression and play essential roles in di...

scDNAm-GPT Captures Genome-wide CpG Dependencies in Single-cell DNA methylomes to Revolutionize Epigenetic Analysis

Single-cell DNA methylomes are challenging to interpret because of sparse CpG coverage and the compl...

PertAdapt: Unlocking Single-Cell Foundation Models for Genetic Perturbation Prediction via Condition-Sensitive Adaptation

Single-cell foundation models (FMs) pretrained on massive unlabeled scRNA-seq data show strong poten...

Adapting CRISPR-associated transposons for rapid and high-throughput reverse genetics

CRISPR-associated transposons (CAST) use guide RNAs to direct their transposition and are being harn...

MiRformer: a dual-transformer-encoder framework for predicting microRNA-mRNA interactions from paired sequences

MicroRNAs (miRNAs) are small non-coding RNAs that regulate genes by binding to target messenger RNAs...

RNAcentral in 2026: Genes and literature integration

RNAcentral was founded in 2014 to serve as a comprehensive database of non-coding RNA sequences. It ...

Genolator: A Multimodal Large Language Model Fusing Natural Language, Genomic, and Structural Tokens for Protein Function Interpretation

Decoding the genetic code to unveil its genome functionality is a monumental task which would greatl...

Iterative immunogen optimization to focus immune responses on a conserved, subdominant viral epitope

Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influ...

Heimdall: A Modular Framework for Tokenization in Single-Cell Foundation Models

Foundation models trained on single-cell RNA-sequencing (scRNA-seq) data have rapidly become powerfu...

Melody: Decoding the Sequence Determinants of Locus-Specific DNA Methylation Across Human Tissues

DNA methylation is a fundamental epigenetic modification that plays crucial roles in transcriptional...

Assessing the feasibility of machine learning for ancient DNA age prediction: limitations and insights

We investigated the possibility of estimating the age of ancient biological samples directly from th...

ARCLID: Accurate and Robust Characterization of Long Insertions and Deletions in Genome

Structural variants (SVs) play crucial roles in genome diversity and disease, yet their accurate det...

Clair-Mosaic: A deep-learning method for long-read mosaic small variant calling

Mosaic variants, defined as postzygotic mutations occurring during an organism’s development from zy...

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