ArticleBioinformatics (Oxford, England)2018
appreci8: a pipeline for precise variant calling integrating 8 tools.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Synth4bench: generating synthetic data for benchmarking tumor-only somatic variant calling algorithms.Frontiers in bioinformatics · 2026Article
- Somatic mutations and DNA methylation identify a subgroup of poor prognosis within lower-risk myelodysplastic syndromes.HemaSphere · 2025Article
- Dynamic microfluidic single-cell screening identifies pheno-tuning compounds to potentiate tuberculosis therapy.Nature communications · 2024Article
- Simple combination of multiple somatic variant callers to increase accuracy.Scientific reports · 2023Article
- Structural, topological, and functional characterization of transmembrane proteins TMEM213, 207, 116, 72 and 30B provides a potential link to ccRCC etiology.American journal of cancer research · 2023Article
- Performance comparisons between clustering models for reconstructing NGS results from technical replicates.Frontiers in genetics · 2023Article
- Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023Review
- Bam-readcount - rapid generation of basepair-resolution sequence metrics.Journal of open source software · 2022Article
- Clonal Evolution at First Sight: A Combined Visualization of Diverse Diagnostic Methods Improves Understanding of Leukemic Progression.Frontiers in oncology · 2022Article
- Divergent Effects of EZH1 and EZH2 Protein Expression on the Prognosis of Patients with T-Cell Lymphomas.Biomedicines · 2021Article
- The genetic landscape of choroid plexus tumors in children and adults.Neuro-oncology · 2021Article
- Mutation patterns in recurrent and/or metastatic oropharyngeal squamous cell carcinomas in relation to human papillomavirus status.Cancer medicine · 2021Article
- An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates.F1000Research · 2021Article
- Detecting Causal Variants in Mendelian Disorders Using Whole-Genome Sequencing.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors.Cancer discovery · 2020Article
- H3K27me3 expression and methylation status in histological variants of malignant peripheral nerve sheath tumours.The Journal of pathology · 2020Article
- AMLVaran: a software approach to implement variant analysis of targeted NGS sequencing data in an oncological care setting.BMC medical genomics · 2020Article
- Next Generation Sequencing and Bioinformatics Analysis of Family Genetic Inheritance.Frontiers in genetics · 2020Review
- Exploring Current Challenges and Perspectives for Automatic Reconstruction of Clonal Evolution.Cancer genomics & proteomicsArticle
- Comparison of Open-access Databases for Clinical Variant Interpretation in Cancer: A Case Study of MDS/AML.Cancer genomics & proteomicsReview
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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