title: BamBam: genome sequence analysis tools for biologists.
abstract: BACKGROUND
  Massive computational power is needed to analyze the genomic data produced by next-generation sequencing, but extensive computational experience and specific knowledge of algorithms should not be necessary to run genomic analyses or interpret their results.
  
  
  RESULTS
  We present BamBam, a package of tools for genome sequence analysis. BamBam contains tools that facilitate summarizing data from BAM alignment files and identifying features such as SNPs, indels, and haplotypes represented in those alignments.
  
  
  CONCLUSIONS
  BamBam provides a powerful and convenient framework to analyze genome sequence data contained in BAM files.
authors.affiliation: Department of Biology, Brigham Young University, Provo, UT 84602, USA. jtpage68@gmail.com.
authors.forename: Justin T
authors.initials: JT
authors.lastname: Page
authors.forename: Zachary S
authors.initials: ZS
authors.lastname: Liechty
authors.forename: Mark D
authors.initials: MD
authors.lastname: Huynh
authors.forename: Joshua A
authors.initials: JA
authors.lastname: Udall
mesh_terms: D000465:Algorithms; D001483:Base Sequence; D016000:Cluster Analysis; D056915:DNA Copy Number Variations / Q000235:genetics; D016678:Genome; D023281:Genomics / Q000379:methods*; D008969:Molecular Sequence Data; D017422:Sequence Analysis, DNA; D012984:Software; D013447:Sulfites
chemical_list: D013447:Sulfites; C042345:hydrogen sulfite