Výsledky vyhledávání - "Benjamin Strauch"

AI-based prevention of interval cancers in a national mammography screening program

Autor: Danalyn Byng, Benjamin Strauch, Linda Gnas, Christian Leibig, Oliver Stephan, Stefan Bunk, Gerold Hecht

Publikováno v: European journal of radiology. 152

To demonstrate that artificial intelligence (AI) can detect and correctly localise retrospectively visible cancers that were missed and diagnosed as interval cancers (false negative (FN) and minimal signs (MS) interval cancers), and to characterise A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67b28bb175ab90da8e64f93a2095ad62
https://pubmed.ncbi.nlm.nih.gov/35512511

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Abundance estimation and differential testing on strain level in metagenomics data

Autor: Martina Fischer, Bernhard Y. Renard, Benjamin Strauch

Publikováno v: Bioinformatics

Motivation Current metagenomics approaches allow analyzing the composition of microbial communities at high resolution. Important changes to the composition are known to even occur on strain level and to go hand in hand with changes in disease or eco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84ce715571fe3ecd980a803b16b19659
https://doi.org/10.1093/bioinformatics/btx237

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LiveKraken--real-time metagenomic classification of illumina data

Autor: Andreas Nitsche, Martin Lindner, Bernhard Y. Renard, Andreas Andrusch, Tobias P. Loka, Benjamin Strauch, Simon H. Tausch

Publikováno v: Bioinformatics (Oxford, England). 34(21)

Motivation In metagenomics, Kraken is one of the most widely used tools due to its robustness and speed. Yet, the overall turnaround time of metagenomic analysis is hampered by the sequential paradigm of wet and dry lab. In urgent experiments, it can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbd5b873d118ecf224ca1032b7d92f14
https://pubmed.ncbi.nlm.nih.gov/29868852

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HiLive: real-time mapping of illumina reads while sequencing

Autor: Martin Lindner, Bernhard Y. Renard, Andreas Nitsche, Piotr Wojtek Dabrowski, Simon H. Tausch, Benjamin Strauch, Jakob M. Schulze

Publikováno v: Bioinformatics (Oxford, England). 33(6)

Motivation Next Generation Sequencing is increasingly used in time critical, clinical applications. While read mapping algorithms have always been optimized for speed, they follow a sequential paradigm and only start after finishing of the sequencing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c821df82e68c04775aca197e62467a
https://pubmed.ncbi.nlm.nih.gov/27794555

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