title: A biologically informed method for detecting rare variant associations.
abstract: BACKGROUND
  BioBin is a bioinformatics software package developed to automate the process of binning rare variants into groups for statistical association analysis using a biological knowledge-driven framework. BioBin collapses variants into biological features such as genes, pathways, evolutionary conserved regions (ECRs), protein families, regulatory regions, and others based on user-designated parameters. BioBin provides the infrastructure to create complex and interesting hypotheses in an automated fashion thereby circumventing the necessity for advanced and time consuming scripting.
  
  
  OBJECTIVE
  In this manuscript, we describe the software package for BioBin, along with type I error and power simulations to demonstrate the strengths and various customizable features and analysis options of this variant binning tool.
  
  
  RESULTS
  Simulation testing highlights the utility of BioBin as a fast, comprehensive and expandable tool for the biologically-inspired binning and analysis of low-frequency variants in sequence data.
  The BioBin software package has the capability to transform and streamline the analysis pipelines for researchers analyzing rare variants. This automated bioinformatics tool minimizes the manual effort of creating genomic regions for binning such that time can be spent on the much more interesting task of statistical analyses. This software package is open source and freely available from http://ritchielab.com/software/biobin-download.
authors: Duke University Medical Center, Duke General Surgery, Durham, NC 27710 USA.
authors: Carrie Colleen Buchanan
authors: CCB
authors: Moore
authors: Department of Biochemistry and Molecular Biology, Center for Systems Genomics, The Pennsylvania State University, University Park, PA 16802 USA.
authors: Anna Okula
authors: AO
authors: Basile
authors: Biomedical and Translational Informatics, Geisinger Health System, Danville, PA 17821 USA.
authors: John Robert
authors: JR
authors: Wallace
authors: Biomedical and Translational Informatics, Geisinger Health System, Danville, PA 17821 USA.
authors: Alex Thomas
authors: AT
authors: Frase
authors: Department of Biochemistry and Molecular Biology, Center for Systems Genomics, The Pennsylvania State University, University Park, PA 16802 USA.|Biomedical and Translational Informatics, Geisinger Health System, Danville, PA 17821 USA.
authors: Marylyn DeRiggi
authors: MD
authors: Ritchie