Bioinformatics and Machine Learning

Bioinformatics and Machine Learning

Bioinformatics and Machine Learning  laboratory based at Children's National Hosptial develops computation technologies for understanding coding and non-coding gene elements and their role in human physiology and disease. These technologies include machine learning and deep learning methods to predict efficient genome editing using CRISPR Cas9 and Cas 13 editing tools. The laboratory also develops algorithms and models for the analysis of pooled and single-cell CRISPR screens, and models human gene functions using AI and single-cell genomics. 

Services and Instrumentation

• NGS sequencing data analysis including RNA Seq DESeq2 analysis and gene set enrichment analysis
  (GSEA)
• Analysis of complex interaction data sets using SAINTexpress workflow and Prize-Collecting Steiner
  Forest (PCSF) algorithm
• Single cell analysis algorithms for single cell protein and gene expression analysis
• Machine learning algorithms for analysis of complex images
• Gene editing using target optimization and vector preparation
• Analysis of CRISPR screen
• Single cell gene expression analysis
• Predictive analysis of gene function

Leadership

The Bioinformatics and Machine Learning  Lab at Children's National Hospital is supervised by Dr. Wei Li. Dr. Li and the laboratory staff are available for consultations for the listed services above.