Kailong Ma

The paper presents a spatiotemporal transcriptome database of human embryogenesis, providing spatial gene expression and substructure data across 50 developing organs.

This study analyzes the genetic diversity of the deep sea, linking protein structures to genetic variants and identifying biotechnologically relevant features.

ExMODE is a multi-omics database for extremophiles that integrates and standardizes data to enable comparative analysis and bioprospecting.

NanoporeDB is a structural database of multimeric protein nanopores, providing 3D models and quantitative metrics to support nanopore-based sensing and synthetic biology.

The paper creates a high-resolution spatial transcriptomic atlas of the mouse brain using snRNA-seq and Stereo-seq, identifying new cell clusters, region-specific genes, and transcription factor regulons.

STOmicsDB provides a database for spatial transcriptomics data with tools for dataset visualization, publication search, and data archiving.

This study maps gene expression and developmental trajectories in zebrafish embryos using Stereo-seq and scRNA-seq, identifying spatial gene modules and signaling interactions.

The paper uses Stereo-seq to map single-cell transcriptomes of axolotl telencephalon during development and regeneration, identifying a key radial glial cell subtype involved in early wound healing.

This paper introduces a probabilistic method for registering multi-modal spatial transcriptomics data and demonstrates its accuracy on synthetic and real mouse brain images.

This paper introduces GDL, a deep learning method for cancer identification using genomic data, achieving high accuracy in distinguishing 12 cancer types and healthy tissues.

The paper reports the first de novo genome of Panax notoginseng, identifies gene family contractions and expansions related to disease resistance and ABC transporters, and maps key genes in the ginsenoside biosynthesis pathway.