Welcome to Algorithmic Biology Laboratory
The Algorithmic Biology Lab research focuses on quantitative modeling of various life phenomena at cellular and molecular levels. In particular, ABL research includes modeling RNA structure and ncRNA-mRNA interactions, de novo assembly of short and long sequencing reads for genomic and transcriptomic studies, de novo genomic variation detection, synthetic biology, bionics, and robotics. ABL is directed by Dr. Chitsaz and is located in the Computer Science Building on the Colorado State University campus.
Funding
NEWS

Principal Variety Analysis
Our method for minimum dimensional algebraic manifold learning, which we call Principal Variety Analysis (PVA), has been accepted at CoRL 2017 and will be published soon.
09/01/2017

Role of Clp1 in Yeast
Our work on genomewide analysis of Clp1 function in budding yeast reveals transcription termination and antisense transcription inhibition roles of Clp1. The paper describing our methods and results has been accepted at Scientific Reports and will be published soon.
06/26/2017

Structure and function of Protein Disulfide Isomerase
Our work on machine learning and network analysis of molecular dynamics trajectories reveals two chains of Red/Ox-specific residue interactions in Protein Disulfide Isomerase. The paper describing our methods and results has been accepted at Scientific Reports and will be published soon.
05/09/2017

SNP-Phenotype Associations
Our SNP-Phenotype association corpus extracted from biomedical natural language texts, called SNPPhenA, has been published in the Journal of Biomedical Semantics.
02/01/2017

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