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appreci8: a pipeline for precise variant calling integrating 8 tools.
Sandmann, Sarah; Karimi, Mohsen; de Graaf, Aniek O; Rohde, Christian; Göllner, Stefanie; Varghese, Julian; Ernsting, Jan; Walldin, Gunilla; van der Reijden, Bert A; Müller-Tidow, Carsten; Malcovati, Luca; Hellström-Lindberg, Eva; Jansen, Joop H; Dugas, Martin.
Afiliação
  • Sandmann S; Institute of Medical Informatics, University of Münster, Münster, Germany.
  • Karimi M; Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
  • de Graaf AO; Laboratory Hematology, RadboudUMC, Nijmegen GA, The Netherlands.
  • Rohde C; Department of Hematology, Oncology, and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.
  • Göllner S; Department of Hematology, Oncology, and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.
  • Varghese J; Institute of Medical Informatics, University of Münster, Münster, Germany.
  • Ernsting J; Institute of Medical Informatics, University of Münster, Münster, Germany.
  • Walldin G; Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • van der Reijden BA; Laboratory Hematology, RadboudUMC, Nijmegen GA, The Netherlands.
  • Müller-Tidow C; Department of Hematology, Oncology, and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.
  • Malcovati L; Departments of Hematology Oncology & Molecular Medicine, Fondazione IRCCS Policlinico San Matteo & University of Pavia, Pavia, Italy.
  • Hellström-Lindberg E; Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
  • Jansen JH; Laboratory Hematology, RadboudUMC, Nijmegen GA, The Netherlands.
  • Dugas M; Institute of Medical Informatics, University of Münster, Münster, Germany.
Bioinformatics ; 34(24): 4205-4212, 2018 12 15.
Article em En | MEDLINE | ID: mdl-29945233
ABSTRACT
Motivation The application of next-generation sequencing in research and particularly in clinical routine requires valid variant calling results. However, evaluation of several commonly used tools has pointed out that not a single tool meets this requirement. False positive as well as false negative calls necessitate additional experiments and extensive manual work. Intelligent combination and output filtration of different tools could significantly improve the current situation.

Results:

We developed appreci8, an automatic variant calling pipeline for calling single nucleotide variants and short indels by combining and filtering the output of eight open-source variant calling tools, based on a novel artifact- and polymorphism score. Appreci8 was trained on two data sets from patients with myelodysplastic syndrome, covering 165 Illumina samples. Subsequently, appreci8's performance was tested on five independent data sets, covering 513 samples. Variation in sequencing platform, target region and disease entity was considered. All calls were validated by re-sequencing on the same platform, a different platform or expert-based review. Sensitivity of appreci8 ranged between 0.93 and 1.00, while positive predictive value ranged between 0.65 and 1.00. In all cases, appreci8 showed superior performance compared to any evaluated alternative approach. Availability and implementation Appreci8 is freely available at https//hub.docker.com/r/wwuimi/appreci8/. Sequencing data (BAM files) of the 678 patients analyzed with appreci8 have been deposited into the NCBI Sequence Read Archive (BioProjectID 388411; https//www.ncbi.nlm.nih.gov/bioproject/PRJNA388411). Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Polimorfismo de Nucleotídeo Único / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Polimorfismo de Nucleotídeo Único / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha