miniSNV: accurate and fast single nucleotide variant calling from nanopore sequencing data.

Struct2GO: protein function prediction based on graph pooling algorithm and AlphaFold2 structure information.

HNetGO: protein function prediction via heterogeneous network transformer.

Prot2GO: Predicting GO Annotations From Protein Sequences and Interactions.

PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction.

ScCCL: Single-Cell Data Clustering Based on Self-Supervised Contrastive Learning.

Deepgmd: A Graph-Neural-Network-Based Method to Detect Gene Regulator Module.

OTUCD: Unsupervised GCN based metagenomics non-overlapping community detection.

deGSM: Memory Scalable Construction Of Large Scale de Bruijn Graph.

ScGSLC: An unsupervised graph similarity learning framework for single-cell RNA-seq data clustering.

Fast and SNP-aware short read alignment with SALT.

IIMLP: integrated information-entropy-based method for LncRNA prediction.

Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction.

SKSV: ultrafast structural variation detection from circular consensus sequencing reads.

Erratum to: abPOA: an SIMD-based C library for fast partial order alignment using adaptive band.

abPOA: an SIMD-based C library for fast partial order alignment using adaptive band.

Prognostic prediction of carcinoma by a differential-regulatory-network-embedded deep neural network.

Fast read alignment with incorporation of known genomic variants.

Integrated entropy-based approach for analyzing exons and introns in DNA sequences.

rMETL: sensitive mobile element insertion detection with long read realignment.

TideHunter: efficient and sensitive tandem repeat detection from noisy long-reads using seed-and-chain.

Accurate annotation of metagenomic data without species-level references.

rMFilter: acceleration of long read-based structure variation calling by chimeric read filtering.

LAMSA: fast split read alignment with long approximate matches.

deBWT: parallel construction of Burrows-Wheeler Transform for large collection of genomes with de Bruijn-branch encoding.

rHAT: fast alignment of noisy long reads with regional hashing.

deBGA: read alignment with de Bruijn graph-based seed and extension.

misFinder: identify mis-assemblies in an unbiased manner using reference and paired-end reads.

A differentor-based adaptive ontology-matching approach.