Ting‐Fung Chan

This paper presents the first chromosome-scale genome of wild lablab and identifies genes and pseudogenes associated with domestication and stress tolerance.

This study uses single-cell RNA sequencing to analyze tissue regeneration in two jellyfish species, identifying conserved and lineage-specific genes involved in regeneration processes.

The paper presents a high-quality chromosome-scale genome assembly for the American Shorthair domestic cat breed, improving upon previous fragmented assemblies.

The paper presents a chromosomal-level genome assembly and microRNA annotation for Cyperus iria, revealing genome duplication and providing resources for weed control research.

This paper presents a chromosome-scale genome assembly of the rare Camellia granthamiana using PacBio and Omni-C data, providing a resource for conservation and phylogenetic studies.

This study presents the first chromosomal-level genome assembly and SNP analysis of the black-faced spoonbill, providing genomic resources for conservation and biological research.

This paper presents a chromosomal-level genome assembly of the long-spined sea urchin D. setosum using PacBio and Omni-C technologies, providing a resource for ecological and evolutionary studies.

This study presents the genome assembly of the edible jelly fungus Dacryopinax spathularia using PacBio HiFi and Omni-C data, revealing a high-quality genome with 11,510 protein-coding genes.

This paper presents the first chromosomal-level genome assembly of the golden birdwing butterfly, providing a high-quality resource for studying its biology and conservation.

This study presents a high-quality chromosomal-level genome assembly of the milky mangrove Excoecaria agallocha using PacBio and Omni-C data, revealing 73,740 protein-coding genes.

The paper introduces COMSV, a method for identifying structural variations in cancer samples, showing high sensitivity and specificity and detecting hundreds of novel SVs per sample.

PanGraphViewer is a tool for visualizing pangenome graphs, supporting multiple formats and structural variation analysis.

TAPE deconvolves bulk RNA-seq data into cell-type fractions and gene expression using a deep autoencoder, showing better performance and robustness compared to existing methods.

CLEAR is a self-supervised contrastive learning framework for scRNA-seq that improves clustering, batch correction, and pseudo-time inference by reducing technical noise and heterogeneity.

This study introduces rG4-seq 2.0, an improved method for detecting RNA G-quadruplexes with lower RNA input requirements and better library quality.

This paper presents a high-quality chromosome-level genome assembly of the Japanese eel and identifies gene duplication events and chromosomal reorganization linked to evolutionary adaptation.

rG4-seeker improves rG4-seq analysis by reducing false positives and enhancing detection of non-canonical rG4 motifs in human RNA.

OMSV identifies large structural variations from optical maps with high accuracy, outperforming existing methods and detecting many missed by sequencing.

The paper characterizes Azotobacter vinelandii for synthetic biology and develops two BioBrick kits for regulated protein expression and magnetosome conjugation.

The paper identifies a panel of stably expressed genes for normalizing circulating RNA transcripts in maternal blood using RNA-seq data from preterm labor samples.