K
Kim Philipp Jablonski
Researcher at Swiss Institute of Bioinformatics
Publications - 21
Citations - 843
Kim Philipp Jablonski is an academic researcher from Swiss Institute of Bioinformatics. The author has contributed to research in topics: Gene & Biology. The author has an hindex of 6, co-authored 15 publications receiving 193 citations. Previous affiliations of Kim Philipp Jablonski include ETH Zurich & Jacobs University Bremen.
Papers
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Journal ArticleDOI
Sustainable data analysis with Snakemake.
Felix Mölder,Kim Philipp Jablonski,Kim Philipp Jablonski,Brice Letcher,Michael B Hall,Christopher Tomkins-Tinch,Christopher Tomkins-Tinch,Vanessa Sochat,Jan Forster,Jan Forster,Soohyun Lee,Sven Twardziok,Alexander Kanitz,Alexander Kanitz,Andreas Wilm,Manuel Holtgrewe,Sven Rahmann,Sven Nahnsen,Johannes Köster,Johannes Köster +19 more
TL;DR: It is shown how the popular workflow management system Snakemake can be used to guarantee reproducibility, and how it enables an ergonomic, combined, unified representation of all steps involved in data analysis, ranging from raw data processing, to quality control and fine-grained, interactive exploration and plotting of final results.
Posted ContentDOI
Detection of SARS-CoV-2 variants in Switzerland by genomic analysis of wastewater samples
Katharina Jahn,David Dreifuss,Ivan Topolsky,Anina Kull,Pravin Ganesanandamoorthy,Xavier Fernandez-Cassi,Carola Bänziger,Alexander J. devaux,Elyse Stachler,Lea Caduff,Federica Cariti,Alex Tunas Corzon,Lara Fuhrmann,Chaoran Chen,Kim Philipp Jablonski,Sarah Nadeau,Mirjam Feldkamp,Christian Beisel,Catharine Aquino,Tanja Stadler,Christoph Ort,Tamar Kohn,Timothy R. Julian,Timothy R. Julian,Timothy R. Julian,Niko Beerenwinkel +25 more
TL;DR: In this paper, the authors report a genomic analysis of SARS-CoV-2 in 48 raw wastewater samples collected from three wastewater treatment plants in Switzerland between July 9 and December 21, 2020.
Journal ArticleDOI
Early detection and surveillance of SARS-CoV-2 genomic variants in wastewater using COJAC
Katharina Jahn,David Dreifuss,Ivan Topolsky,Anina Kull,Pravin Ganesanandamoorthy,Xavier Fernandez-Cassi,Carola Bänziger,Alexander J. Devaux,Elyse Stachler,Lea Caduff,Federica Cariti,Alex Tunas Corzon,Lara Fuhrmann,Chaoran Chen,Kim Philipp Jablonski,Sarah Nadeau,Mirjam Feldkamp,Christian Beisel,Catharine Aquino,Tanja Stadler,Christoph Ort,Tamar Kohn,Timothy R. Julian,Niko Beerenwinkel +23 more
TL;DR: In this paper , the authors used genomic sequencing of 122 wastewater samples from three locations in Switzerland to monitor the local spread of B.1.7 (Alpha), B.351 (Beta) and P.1 (Gamma) variants of SARS-CoV-2 at a population level.
Journal ArticleDOI
V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput data.
Susana Posada-Cespedes,Susana Posada-Cespedes,David Seifert,David Seifert,Ivan Topolsky,Ivan Topolsky,Kim Philipp Jablonski,Kim Philipp Jablonski,Karin J. Metzner,Niko Beerenwinkel,Niko Beerenwinkel +10 more
TL;DR: V-pipe as mentioned in this paper is a bioinformatics pipeline combining various state-of-the-art statistical models and computational tools for automated end-to-end analyses of raw sequencing reads.
Journal ArticleDOI
Quantification of the spread of SARS-CoV-2 variant B.1.1.7 in Switzerland.
Chaoran Chen,Sarah Nadeau,Ivan Topolsky,Marc Manceau,Jana S. Huisman,Kim Philipp Jablonski,Lara Fuhrmann,David Dreifuss,Katharina Jahn,Christiane Beckmann,Maurice Redondo,Christoph Noppen,Lorenz Risch,Martin Risch,Nadia Wohlwend,Sinem Kas,Thomas Bodmer,Tim Roloff,Madlen Stange,Adrian Egli,Isabella Eckerle,Laurent Kaiser,Rebecca Denes,Mirjam Feldkamp,Ina Nissen,Natascha Santacroce,Elodie Burcklen,Catharine Aquino,Andreia Cabral de Gouvea,Maria Domenica Moccia,Simon Grüter,Timothy Sykes,Lennart Opitz,Griffin White,Laura Neff,Doris Popovic,Andrea Patrignani,Jay Tracy,Ralph Schlapbach,Emmanouil T. Dermitzakis,Keith Harshman,Ioannis Xenarios,Henri Pegeot,Lorenzo Cerutti,Deborah Penet,Anthony Blin,Melyssa Elies,Christian L. Althaus,Christian Beisel,Niko Beerenwinkel,Martin Ackermann,Tanja Stadler +51 more
TL;DR: This study estimates the transmission fitness advantage and the effective reproductive number of B.1.1-CoV-2 variant of Concern in Switzerland and quantifies the variant’s transmission Fitness advantage on a national and a regional scale.