ASGARD – A Single-cell Guided Pipeline to Aid Repurposing of Drugs
Single-cell RNA sequencing technology has enabled in-depth analysis of intercellular heterogeneity in various diseases. However,…
Browsing: Publications
Strategies for integrating single-cell RNA sequencing results with multiple species
Single-cell RNA sequencing (scRNAseq) is a robust technology for parsing gene expression in individual cells…
DeepMAPS – biological network inference from scMulti-omics
Single-cell multi-omics (scMulti-omics) allows the quantification of multiple modalities simultaneously to capture the intricacy of…
A guide to gene-centric analysis using TreeSAPP
Gene-centric analysis is commonly used to chart the structure, function, and activity of microbial communities…
Genetic insights of schizophrenia via single cell RNA-sequencing analyses
Schizophrenia is a complex and heterogeneous disorder involving multiple regions and types of cells in…
Single-cell transcriptome sequencing allows genetic separation, characterization and identification of individuals in multi-person biological mixtures
Identifying individuals from biological mixtures to which they contributed is highly relevant in crime scene…
scTEP – single-cell data Trajectory inference method using Ensemble Pseudotime inference
The advance in single-cell RNA sequencing technology has enhanced the analysis of cell development by…
Single-cell RNA sequencing gives new insights into the drivers of glioma-related epilepsy
Glioma is one of the most aggressive malignant primary brain tumors. A common feature of…
INVADEseq – invasion adhesion directed expression sequencing
Dr. Jorge Galeano Niño, a postdoctoral fellow in Dr. Susan Bullman’s Lab, confesses that he did…
RNAlysis – analyze your RNA sequencing data without writing a single line of code
Amongst the major challenges in next-generation sequencing experiments are exploratory data analysis, interpreting trends, identifying…