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BioMed Research International
Volume 2015, Article ID 403497, 11 pages
Research Article

DNAseq Workflow in a Diagnostic Context and an Example of a User Friendly Implementation

1University of Applied Sciences and Arts of Western Switzerland, Perolles 80, 1700 Fribourg, Switzerland
2University of Würzburg, Am Hubland, 97074 Würzburg, Germany
3Phenosystems SA, 137 Rue de Tubize, 1440 Braine le Chateau, Belgium

Received 13 March 2015; Revised 10 May 2015; Accepted 18 May 2015

Academic Editor: Hong Lu

Copyright © 2015 Beat Wolf et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Pierre Kuonen, Thomas Dandekar, and Beat Wolf, “GNATY: Optimized NGS variant calling and coverage analysis,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9656, pp. 446–454, 2016. View at Publisher · View at Google Scholar
  • Wolfram Kress, Simone Rost, Natalie Pluta, Konstantin Kolokotronis, Gerhard Meng, and Clemens Müller-Reible, “The Genetic Approach: Next-Generation Sequencing-Based Diagnosis of Congenital and Infantile Myopathies/Muscle Dystrophies,” Neuropediatrics, vol. 48, no. 4, pp. 242–246, 2017. View at Publisher · View at Google Scholar
  • Julia Böck, Silke Appenzeller, Larissa Haertle, Tamara Schneider, Andrea Gehrig, Jörg Schröder, Simone Rost, Beat Wolf, Claus R. Bartram, Christian Sutter, and Thomas Haaf, “Single CpG hypermethylation, allele methylation errors, and decreased expression of multiple tumor suppressor genes in normal body cells of mutation-negative early-onset and high-risk breast cancer patients,” International Journal of Cancer, 2018. View at Publisher · View at Google Scholar
  • Beat Wolf, Pierre Kuonen, and Thomas Dandekar, “Meta-Alignment: Combining Sequence Aligners for Better Results,” Bioinformatics and Biomedical Engineering, vol. 10813, pp. 395–404, 2018. View at Publisher · View at Google Scholar