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Charles Deltel
Researcher at French Institute for Research in Computer Science and Automation
Publications - 9
Citations - 734
Charles Deltel is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Data structure & Software. The author has an hindex of 3, co-authored 9 publications receiving 557 citations. Previous affiliations of Charles Deltel include Pennsylvania State University.
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Journal ArticleDOI
Critical Assessment of Metagenome Interpretation - A benchmark of metagenomics software
Alexander Sczyrba,Peter Hofmann,Peter Hofmann,Peter Belmann,David Koslicki,Stefan Janssen,Johannes Dröge,Johannes Dröge,Ivan Gregor,Ivan Gregor,Stephan Majda,Jessika Fiedler,Eik Dahms,Eik Dahms,Andreas Bremges,Adrian Fritz,Ruben Garrido-Oter,Tue Sparholt Jørgensen,Tue Sparholt Jørgensen,Tue Sparholt Jørgensen,Nicole Shapiro,Philip D. Blood,Alexey Gurevich,Yang Bai,Dmitrij Turaev,Matthew Z. DeMaere,Rayan Chikhi,Niranjan Nagarajan,Christopher Quince,Fernando Meyer,Monika Balvočiūtė,Lars Hestbjerg Hansen,Søren J. Sørensen,Burton Kuan Hui Chia,Bertrand Denis,Jeff Froula,Zhong Wang,Robert Egan,Dongwan Don Kang,Jeffrey J. Cook,Charles Deltel,Michael Beckstette,Claire Lemaitre,Pierre Peterlongo,Guillaume Rizk,Dominique Lavenier,Yu Wei Wu,Yu Wei Wu,Steven W. Singer,Steven W. Singer,Chirag Jain,Marc Strous,Heiner Klingenberg,Peter Meinicke,Michael D. Barton,Thomas Lingner,Hsin-Hung Lin,Yu-Chieh Liao,Genivaldo G. Z. Silva,Daniel A. Cuevas,Robert Edwards,Surya Saha,Vitor C. Piro,Vitor C. Piro,Bernhard Y. Renard,Mihai Pop,Hans-Peter Klenk,Markus Göker,Nikos C. Kyrpides,Tanja Woyke,Julia A. Vorholt,Paul Schulze-Lefert,Edward M. Rubin,Aaron E. Darling,Thomas Rattei,Alice C. McHardy +75 more
TL;DR: The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on highly complex and realistic data sets, generated from ∼700 newly sequenced microorganisms and ∼600 novel viruses and plasmids and representing common experimental setups as discussed by the authors.
Journal ArticleDOI
GATB: Genome Assembly & Analysis Tool Box
Erwan Drezen,Guillaume Rizk,Rayan Chikhi,Charles Deltel,Claire Lemaitre,Pierre Peterlongo,Dominique Lavenier +6 more
TL;DR: An open-source library dedicated to genome assembly and analysis to fasten the process of developing efficient software, based on a recent optimized de-Bruijn graph implementation allowing complex genomes to be processed on desktop computers using fast algorithms with low memory footprints.
Posted ContentDOI
Critical Assessment of Metagenome Interpretation − a benchmark of computational metagenomics software
Alexander Sczyrba,Peter Hofmann,Peter Belmann,David Koslicki,Stefan Janssen,Johannes Dröge,Ivan Gregor,Stephan Majda,Jessika Fiedler,Eik Dahms,Andreas Bremges,Adrian Fritz,Ruben Garrido-Oter,Tue Sparholt Jørgensen,Nicole Shapiro,Philip D. Blood,Alexey Gurevich,Yang Bai,Dmitrij Turaev,Matthew Z. DeMaere,Rayan Chikhi,Niranjan Nagarajan,Christopher Quince,Lars Hestbjerg Hansen,Søren J. Sørensen,Burton Kuan Hui Chia,Bertrand Denis,Jeff Froula,Zhong Wang,Robert Egan,Dongwan Don Kang,Jeffrey J. Cook,Charles Deltel,Michael Beckstette,Claire Lemaitre,Pierre Peterlongo,Guillaume Rizk,Dominique Lavenier,Yu Wei Wu,Steven W. Singer,Chirag Jain,Marc Strous,Heiner Klingenberg,Peter Meinicke,Michael D. Barton,Thomas Lingner,Hsin-Hung Lin,Yu-Chieh Liao,Genivaldo G. Z. Silva,Daniel A. Cuevas,Robert Edwards,Surya Saha,Vitor C. Piro,Bernhard Y. Renard,Mihai Pop,Hans-Peter Klenk,Markus Göker,Nikos C. Kyrpides,Tanja Woyke,Julia A. Vorholt,Paul Schulze-Lefert,Edward M. Rubin,Aaron E. Darling,Thomas Rattei,Alice C. McHardy +64 more
TL;DR: Benchmark metagenomes were generated from ~700 newly sequenced microorganisms and ~600 novel viruses and plasmids, including genomes with varying degrees of relatedness to each other and to publicly available ones and representing common experimental setups.
BLAST on UPMEM
TL;DR: This paper presents the implementation of the BLAST software on the UPMEM architecture, a well-known molecular biology software to rapidly scan DNA or protein genomic banks, and shows a speed-up of 25 when using UPM EM configuration, versus a standard server running 20 Intel cores.
MAPPING on UPMEM
TL;DR: Experation on Human genome dataset shows that speed-up of 25 can be obtained with PIM, compared to fast mapping software such as BWA, Bowtie2 or NextGenMap running 16 Intel threads.