MBASIC
MBASIC (Matrix Based Analysis for State-space Inference and Clustering) is a statistical framework for integrative analysis of many related experiments where observations are collected over a set of units. The MBASIC framework allows for simultaneous projection of the observations onto a discrete state space and clustering the units based on their state-space profiles. MBASIC is applicable to many high throughput sequencing datasets. For example, it enables analysis of large collections of ChIP-seq datasets by simultaneously identifying genomic loci with peaks and similar peak patterns across multiple conditions.