- DropletQC: improved identification of empty droplets and damaged cells in single-cell RNA-seq data
- Malignancy and NF-κB signalling strengthen coordination between expression of mitochondrial and nuclear-encoded oxidative phosphorylation genes
- Functional enrichment of alternative splicing events with NEASE reveals insights into tissue identity and diseases
- Identification, semantic annotation and comparison of combinations of functional elements in multiple biological conditions
- TreeAndLeaf: an R/Bioconductor package for graphs and trees with focus on the leaves
- springD2A: capturing uncertainty in disease-drug association prediction with model integration
- RCandy: an R package for visualising homologous recombinations in bacterial genomes
- Detecting Spatially Co-expressed Gene Clusters with Functional Coherence by Graph-regularized Convolutional Neural Network
- Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier
- RCSB Protein Data Bank: Improved Annotation, Search, and Visualization of Membrane Protein Structures Archived in the PDB
- Isoform-level Quantification for Single-Cell RNA Sequencing
- DeepIDP-2L: protein intrinsically disordered region prediction by combining convolutional attention network and hierarchical attention network
- DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy
- ProteoDisco: A flexible R approach to generate customized protein databases for extended search space of novel and variant proteins in proteogenomic studies
- CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks
- Make Interactive Complex Heatmaps in R
- trfermikit: a tool to discover VNTR-associated deletions
- Uncovering complementary sets of variants for predicting quantitative phenotypes
- Web interface for 3D visualization and analysis of SARS-CoV-2—human mimicry and interactions
- Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data