The Center for Computational Biology
A joint research center in the McKusick-Nathans Institute of Genetic Medicine, the Department of Computer Science, and the Department of Biostatistics
- November 15, 2015. The Hopkins Microbiome consortium website is now open, with links to research groups, seminars, and recent publications related to microbiome research around campus.
- October 21, 2015. CCB releases a new version of OperonDB, now with over 2,700 genomes. OperonDB computes bacterial operons using an algorithm described in M. Pertea et al., 2008. See ...(read more)
- September 8, 2015. Daehwan Kim, Joe Paggi and Steven Salzberg release a new, rapid and accurate alignment program, HISAT2, that aligns NGS reads (both DNA and RNA) against a population of ...(read more)
- March 10, 2015. Daehwan Kim, Ben Langmead and Steven Salzberg publish a study in the journal Nature Methods describing HISAT, a highly ...(read more)
- March 6, 2015. Alyssa Frazee and colleagues publish Bioconductor software package 'Ballgown' which provides a bridge between assembly tools like Cufflinks and downstream statistical modeling tools for RNA-Seq expression analysis. The ...(read more)
The Center for Computational Biology (CCB) is a multidisciplinary center dedicated to research on genomics, genetics, DNA sequencing technology, and computational methods for DNA and RNA sequence analysis. CCB brings together scientists and engineers from many fields, including computer science, biostatistics, genomics, genetics, molecular biology, physics, and mathematics, all of whom share a common interest in gaining a better understanding of how genes and genomes affect biological functions. We develop and apply technology that uses sequence data to study a wide range of questions, including how genes cause disease, how genes change in response to different conditions within the cell, and how genomes evolve.
In addition to its research program, CCB provides bioinformatics expertise to departments and centers throughout the Schools of Medicine and Public Health, through a consulting group trained in the latest computational methods. CCB provides the computing hardware for the analyses run through its consulting group. More about CCB ...»