Welcome to BMBL


RESEARCH TOPICS     

Single-cell multi-omics modeling and analyses:

  • Inference of heterogenous regulatory mechanisms across various cell types
  • Biclustering of large-scale (temporal/spatial) gene expression data 
  • Discovery of cis-regulatory motifs using deep learning frameworks
  • Development of benchmarking single-cell RNA-Seq data analysis tools

Microbial systems biology

  • Elucidation and application of organizing principles of bacterial genomes
  • Metagenomics and metatranscriptomics data analysis in microbes
  • Computational analysis and modeling of human-microbiome interaction

News

[May-21-2020] The grant “Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-Seq data” has been selected for funding the CCTS Pilot Translational & Clinical Studies Program of the CCTS!

[May-18-2020] The manuscript “IRIS3: Integrated Cell-type-specific Regulon Inference Server from Single-cell RNA-Seq” has been officially published by Nucleic Acids Research!

[Mar-26-2020] The manuscript “Integrative Methods and Practical Challenges for Singl-cell Multi-omics” has been officially published in Trends in Biotechnology!

[Feb-24-2020] Zhenyu Wu, a graduate student from the Molecular, Cellular & Developmental Biology Graduate Program, OSU, has joined the lab as a rotating student.

[Feb-13-2020] The manuscript “Gene regulatory networks associated with lateral root and nodule development in soybean.” has been officially accepted by In Silico Plants! Explore the description video here.

[Jan-07-2020] The manuscript “Network analyses in microbiome based on high-throughput multi-omics data. ” has been officially accepted by Briefings in Bioinformatics!

[Dec-23-2019] Ren Qi (PhD student from Tianjin University, China) has joined the lab.

[Dec-18-2019] Yang Li, PhD has joined the lab as a postdoctoral researcher.

[Nov-26-2019] Dr. Qin Ma has been promoted and appointed as Tenured Associate Professor. Many congratulations!

[Sep-19-2019] The manuscript “SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting” has been officially accepted by Bioinformatics!

[Sep-16-2019] The graduate student Cankun Wang has been offered a Biomedical Informatics Specialist position in the Ohio State University Wexner Medical Center, Columbus, OH. Congratulations!

See more here