Publications

Nerve regeneration is a complex biological process that holds immense potential for clinical practice. While extensive research has been conducted on...

Researchers widely use pathway analyses as a tool for understanding the underlying biological mechanisms when dealing with a large number of features. One major issue is that they require pathway annotation data, which is usually only available for model or common organisms, making it difficult to analyze other lesser-known species...

A new study led by researchers at The University of Texas MD Anderson Cancer Center, published today in Nature Medicine, provides a deeper...

Single-cell RNA sequencing (scRNA-seq) strives to capture cellular diversity with higher resolution than bulk RNA sequencing. Clustering analysis is critical...

Cell clustering is a prerequisite for identifying differentially expressed genes (DEGs) in single-cell RNA sequencing (scRNA-seq) data. Obtaining a perfect clustering result is of central importance for...

Novel research from the Department of Biomedical Informatics examines the relationship between complex traits and non-European ancestry. Exploring diverse ancestry is a critical factor in furthering medical research. A new study published in Nature...

The increasing application of RNA sequencing to study non-model species demands easy-to-use and efficient bioinformatics tools to help researchers quickly uncover biological and functional insights. Researchers at McGill University have developed...

Spatial transcriptomics maps gene expression across tissues, posing the challenge of determining the spatial arrangement of different cell types. However, spatial transcriptomics spots contain multiple cells...

Recently, CITE-seq emerged as a multimodal single-cell technology capturing gene expression and surface protein information from the same single-cells, which allows unprecedented insights into disease mechanisms and heterogeneity, as well as immune cell profiling. Multiple single-cell profiling methods exist, but ...

New transcriptome data sets clarifies the evolutionary relationships among orchids and reveals that the plant’s ability to grow on trees evolved independently in several lineages. The most extensive...