bioRxiv

Showing 4691 to 4700 of 5021 articles

Machine learning-based prediction of human structural variation and characterization of associated sequence determinants

bioRxiv
Structural variants (SVs) represent a major source of genetic diversity and play key roles in human disease and evolution. Yet, the extent to which local sequence context shapes the likelihood of structural variant formation remains poorly quantified...

Evolutionary Decoding of the Bacillus subtilis Secretome: Insights from Pan-Genomics and Deep Learning

bioRxiv
Bacillus subtilis serves as a crucial host for industrial protein production, where the efficiency and regulation of its secretion system represent a central focus of applied research. Despite substantial genomic diversity among strains, current unde...

Polli-markers: spectral and chemical biomarkers for detecting cryptic early plant pollination responses

bioRxiv
Pollination is essential for plant reproduction, ecosystem resilience and human health. Yet, our capability to map pollination service delivery in real-time across large areas remains poor. Determining where and when flowers are pollinated is vital t...

Systematic Survey of Public Datasets for Behavioral Research in Invertebrate Models: Toward FAIR and Standardized Data Sharing

bioRxiv
Behavioral datasets for invertebrate model organisms are rapidly expanding alongside automated imaging, tracking, and artificial intelligence (AI) based phenotyping, yet their technical structure and compliance with the Findable, Accessible, Interope...

FMAGJ: Fluorescence Microscopic Astrocyte Gap Junction Images Dataset

bioRxiv
This work introduces a novel and specialized dataset of high-resolution fluorescence microscopic images focused on astrocytic gap junctions, aiming to get insights into intercellular communication in both healthy and pathological brain conditions. Th...

WAD: a wavelet-based linear programming method using L1-minimal reconstruction loss for accessible chromatin data deconvolution

bioRxiv
Bulk tissue-based accessible chromatin studies provide summary annotations across all cell types within the tissue. These annotations can be skewed by varying proportions of individual cell types, especially in the context of disease studies. Estimat...

vir2vec: A Viral Genome-Wide Viral Embedding

bioRxiv
Genomic language models (gLMs) have recently emerged as powerful numerical surrogates for DNA, but existing architectures are largely focused on human DNA or trained on limited viral references, and no dedicated benchmark currently exists for viral g...

Integrating and refining the predictions of ensembled plant effector detection programs using machine learning

bioRxiv
Effectors are pathogen proteins that facilitate infection by manipulating plant immunity. Computational programs have been developed that identify effectors from sequence data. Many of these programs use internal models that have unavoidable biases d...

Combinatorial Protein Language Model–Guided Engineering of TEV Protease for Enhanced Stability and Production

bioRxiv
Industrial enzyme engineering focuses on improvement of enzyme production yield, stability, catalytic activity, and substrate specificity, but often suffers from low efficiency with time-consuming and labor-intensive design and screening processes of...

Identification of genomic features that uniquely impact estrogen receptor alpha binding and its effects on gene expression in endometrial cancer

bioRxiv
Estrogen receptor alpha (ER) is an established oncogenic transcription factor in breast and endometrial cancer; however, more is known about the mechanisms controlling ER behavior in breast cancer, and therapies targeting ER have been much more succe...