bioRxiv: Bioinformatics Preprints

SynCom101: A web-based platform for the standardized design of functionally tailored synthetic microbial communities

biorxiv.org·

MOSAIC: a longitudinal phenotypic clock to dissect organismal aging trajectories in C. elegans

biorxiv.org·

An Extended Clade Framework for Annotated Trees in the Context of Phylogeography and Transmission Tree Inference

biorxiv.org·

MycorrhizaTracer: A BIOINFORMATIC PIPELINE FOR FUNGI AND PLANT CLASSIFICATION OF SANGER DNA SEQUENCES

biorxiv.org·

Integrative Bioinformatics Approach to Identify Prognostic Gene Signatures for Risk Stratification in Thyroid Carcinoma

biorxiv.org·

Unraveling protein conformational plasticity with PROTEUS

biorxiv.org·

UshEffect-3D: Structure-informed Classification of USH2A Missense Variants for Inherited Retinal Disease

biorxiv.org·

A Systematic Approach Toward Implementing Machine Learning Techniques to Analyze Gut Microbiome Data

biorxiv.org·

SNAC-DB: An ML-Ready Database for Antibody and NANOBODY(R) VHH-Antigen Complexes with Expanded Structural Diversity and Real-World Benchmarking

biorxiv.org·

Controlling for DNA dosage with Whole Genome Sequencing improves ATAC-seq peak calling

biorxiv.org·

Cross-Species Adaptation of RETFound for Rodent OCT Age Estimation Reveals Strong CNN Baselines in Data-Scarce Space Biology

biorxiv.org·

AlphaUnfold: Probing Potential Unfolding and Structural Fragility in AlphaFold3 Models via Short-Time High-Pressure MD

biorxiv.org·

Integrative Clinical-Molecular Modeling Identifies LRRN4CL as a Determinant of Structural and Functional Myocardial Improvement

biorxiv.org·

Geometric Theoretical Framework for Dynamic Protein Mutation Detection Models: Defect Awareness and Pathogenicity Prediction

biorxiv.org·

Are Current AI Virtual Cell Models Useful for Scientific Discovery?

biorxiv.org·

Multi-Modal Deep Learning Integrates Spatial Topologies and Sequential Motifs to Identify Class I HDAC Inhibitors as Pan-Cancer Therapeutics

biorxiv.org·

PP-MAPS: dynamic pharmacophore signatures of protein-peptide interfaces from molecular dynamics trajectories

biorxiv.org·

Graph Neural Networks (GNNs) for Protein-Ligand Interaction Prediction

biorxiv.org·

Semi supervised GAN for smart microscopy, fast and data efficient cell cycle classification

SynCom101: A web-based platform for the standardized design of functionally tailored synthetic microbial communities

MOSAIC: a longitudinal phenotypic clock to dissect organismal aging trajectories in C. elegans

An Extended Clade Framework for Annotated Trees in the Context of Phylogeography and Transmission Tree Inference

MycorrhizaTracer: A BIOINFORMATIC PIPELINE FOR FUNGI AND PLANT CLASSIFICATION OF SANGER DNA SEQUENCES

Integrative Bioinformatics Approach to Identify Prognostic Gene Signatures for Risk Stratification in Thyroid Carcinoma

Unraveling protein conformational plasticity with PROTEUS

UshEffect-3D: Structure-informed Classification of USH2A Missense Variants for Inherited Retinal Disease

A Systematic Approach Toward Implementing Machine Learning Techniques to Analyze Gut Microbiome Data

SNAC-DB: An ML-Ready Database for Antibody and NANOBODY(R) VHH-Antigen Complexes with Expanded Structural Diversity and Real-World Benchmarking

Controlling for DNA dosage with Whole Genome Sequencing improves ATAC-seq peak calling

Cross-Species Adaptation of RETFound for Rodent OCT Age Estimation Reveals Strong CNN Baselines in Data-Scarce Space Biology

AlphaUnfold: Probing Potential Unfolding and Structural Fragility in AlphaFold3 Models via Short-Time High-Pressure MD

Integrative Clinical-Molecular Modeling Identifies LRRN4CL as a Determinant of Structural and Functional Myocardial Improvement

Geometric Theoretical Framework for Dynamic Protein Mutation Detection Models: Defect Awareness and Pathogenicity Prediction

Are Current AI Virtual Cell Models Useful for Scientific Discovery?

Multi-Modal Deep Learning Integrates Spatial Topologies and Sequential Motifs to Identify Class I HDAC Inhibitors as Pan-Cancer Therapeutics

PP-MAPS: dynamic pharmacophore signatures of protein-peptide interfaces from molecular dynamics trajectories

Graph Neural Networks (GNNs) for Protein-Ligand Interaction Prediction

Cross-Attention Over RNA And Protein Sequences Enables Generalizable Interaction Prediction