title: GTB - an online genome tolerance browser.
abstract: BACKGROUND
  Accurate methods capable of predicting the impact of single nucleotide variants (SNVs) are assuming ever increasing importance. There exists a plethora of in silico algorithms designed to help identify and prioritize SNVs across the human genome for further investigation. However, no tool exists to visualize the predicted tolerance of the genome to mutation, or the similarities between these methods.
  
  
  RESULTS
  We present the Genome Tolerance Browser (GTB, http://gtb.biocompute.org.uk ): an online genome browser for visualizing the predicted tolerance of the genome to mutation. The server summarizes several in silico prediction algorithms and conservation scores: including 13 genome-wide prediction algorithms and conservation scores, 12 non-synonymous prediction algorithms and four cancer-specific algorithms.
  
  
  CONCLUSIONS
  The GTB enables users to visualize the similarities and differences between several prediction algorithms and to upload their own data as additional tracks; thereby facilitating the rapid identification of potential regions of interest.
authors.affiliation: MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN, UK.
authors.forename: Hashem A
authors.initials: HA
authors.lastname: Shihab
authors.affiliation: Intelligent Systems Laboratory, University of Bristol, Bristol, BS8 1UB, UK.
authors.forename: Mark F
authors.initials: MF
authors.lastname: Rogers
authors.affiliation: Intelligent Systems Laboratory, University of Bristol, Bristol, BS8 1UB, UK.
authors.forename: Michael
authors.initials: M
authors.lastname: Ferlaino
authors.affiliation: Intelligent Systems Laboratory, University of Bristol, Bristol, BS8 1UB, UK.
authors.forename: Colin
authors.initials: C
authors.lastname: Campbell
authors.affiliation: MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, BS8 2BN, UK. tom.gaunt@bristol.ac.uk.
authors.forename: Tom R
authors.initials: TR
authors.lastname: Gaunt
mesh_terms: D000465:Algorithms; D030541:Databases, Genetic; D015894:Genome, Human; D018398:Homeodomain Proteins / Q000235:genetics / Q000378:metabolism; D006801:Humans; D020407:Internet; D008962:Models, Theoretical; D009369:Neoplasms / Q000175:diagnosis / Q000235:genetics; D011973:Receptors, LDL / Q000235:genetics / Q000378:metabolism; D064878:Web Browser
chemical_list: C489213:HOXA5 protein, human; D018398:Homeodomain Proteins; C573412:LDLR protein, human; D011973:Receptors, LDL
keywords: Genome browser; Genome tolerance; Mutation; Pathogenicity prediction; Prediction algorithm; SNVs; Variant effect prediction