8th Workshop on Computational Advances for Single-Cell Omics Data Analysis
Workshop Chairs
- Alex Zelikovsky — Georgia State University, alexz@gsu.edu
- Marmar Moussa — University of Oklahoma, marmar.moussa@ou.edu
- Murray Patterson — Georgia State University, mpatterson30@gsu.edu
Recent technological advances have enabled high-throughput profiling of genomes, transcriptomes, epigenomes, and proteomes at single cell resolution. These revolutionary single-cell-omics technologies promise to bring unprecedented insights into tissue heterogeneity and unveil subtle regulatory processes that are undetectable by bulk sample analysis. However, fully realizing their potential requires the development of novel computational and statistical analysis methods capable of handling the massive data sizes and significant levels of technical and biological noise. The goal of the CASCODA workshop is to bring together bioinformaticians, biologists, computer/data scientists, and statisticians to discuss the latest developments in computing infrastructure, mathematical and statistical modeling, algorithms, and visualization methods for single-cell-omics data.
Topics of interest
Workshop topics of interest include but are not limited to:
- Bioinformatics workflows for single-cell -omics data analysis
- Cell atlases
- Clustering and cell type inference
- Integration of multiple modalities of single-cell data
- Lineage inference
- Modeling of missing data and imputation
- Normalization and batch effect removal
- Quality control for single-cell sequencing data
- Single-cell phylogenetics
- Single-cell RNA-Seq quantification
- Single-cell spatial reconstruction
- Variant calling and haplotyping
- Visualization of single-cell -omics data
The meeting is by invitation only.
Following the workshop, speakers will be invited to submit extended abstracts for publication in the Springer LNBI (pending approval) post-proceedings volume devoted to ICCABS 2027 and/or full length articles to a special issue of the Journal of Computational Biology.