transferGWAS: GWAS of images using deep transfer learning.

Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks.

CNpare: matching DNA copy number profiles.

NanoSplicer: accurate identification of splice junctions using Oxford Nanopore sequencing.

Decoding the epitranscriptional landscape from native RNA sequences.

The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes.

CoBold: a method for identifying different functional classes of transient RNA structure features that can impact RNA structure formation in vivo.

PROMISCUOUS 2.0: a resource for drug-repositioning.

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.

DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.

A network-based algorithm for the identification of moonlighting noncoding RNAs and its application in sepsis.

Design powerful predictor for mRNA subcellular location prediction in Homo sapiens.

MATHLA: a robust framework for HLA-peptide binding prediction integrating bidirectional LSTM and multiple head attention mechanism.

recoup: flexible and versatile signal visualization from next generation sequencing.

MicrobeAnnotator: a user-friendly, comprehensive functional annotation pipeline for microbial genomes.

MiBiOmics: an interactive web application for multi-omics data exploration and integration.

HADDOCK3: A Modular and Versatile Platform for Integrative Modeling of Biomolecular Complexes.

AccFG: Accurate Functional Group Extraction and Molecular Structure Comparison.

Construction of the Veterinary DrugBank and Drug Repurposing.

Prediction of Human Pathogenic Start Loss Variants Based on Multi-channel Features.

Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands.

RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning.

Integrative single-cell metabolomics and phenotypic profiling reveals metabolic heterogeneity of cellular oxidation and senescence.

AI-driven high-throughput droplet screening of cell-free gene expression.

Highly accurate prophage island detection with PIDE.

MAGdb: a comprehensive high quality MAGs repository for exploring microbial metagenome-assemble genomes.

Cross-expression meta-analysis of mouse brain slices reveals coordinated gene expression across spatially adjacent cells.

iPro-MP: a BERT-based model to predict multiple prokaryotic promoters.

A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images.

End-to-end Chinese clinical event extraction based on large language model.

IC2Bert: masked gene expression pretraining and supervised fine tuning for robust immune checkpoint blockade (ICB) response prediction.

Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning.

MUNDO: protein function prediction embedded in a multispecies world.

cblaster: a remote search tool for rapid identification and visualization of homologous gene clusters.

Secondary structure assignment of proteins in the absence of sequence information.

Cutevariant: a standalone GUI-based desktop application to explore genetic variations from an annotated VCF file.

Deep generative modeling of sample-level heterogeneity in single-cell genomics.

Automated classification of cellular expression in multiplexed imaging data with Nimbus.

Foundation model for efficient biological discovery in single-molecule time traces.

HippoMaps: multiscale cartography of human hippocampal organization.