15th Workshop on Computational Advances in Next-Generation Sequencing
Workshop Chairs
- Ion Mandoiu — University of Connecticut, ion@engr.uconn.edu
- Pavel Skums — University of Connecticut, pavel.skums@uconn.edu
- Alex Zelikovsky — Georgia State University, alexz@cs.gsu.edu
Massively parallel DNA and RNA sequencing have become widely available, reducing the cost by several orders of magnitude and placing the capacity to generate gigabases to terabases of sequence data into the hands of individual investigators. These next-generation technologies have the potential to dramatically accelerate biological and biomedical research by enabling the comprehensive analysis of genomes and transcriptomes to become inexpensive, routine and widespread. The exploding volume of data has spurred the development of novel algorithmic approaches for primary analyses of sequence data in such areas as error correction, de novo genome assembly, novel transcript discovery, virus quasispecies assembly, etc. The CANGS workshop will bring together specialists to discuss the various mathematical and computational challenges presented by next-generation sequencing technologies.
Topics of interest
Workshop topics of interest include but are not limited to:
- 3D genome architecture
- Cancer sequencing
- Characterization of structural variants
- Cloud-based NGS analysis
- De novo genome and transcriptome assembly
- Epigenomics
- Haplotype reconstruction
- Long single molecule read analysis
- Metagenomics and metatranscriptomics
- NGS error correction
- Population genomics
- Read mapping
- Small RNA analysis
- Scaffolding and genome finishing
- Transcriptome quantification
- Variant detection and genotyping
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.