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Daniel Paarmann

Researcher at University of Chicago

Publications -  5
Citations -  12890

Daniel Paarmann is an academic researcher from University of Chicago. The author has contributed to research in topics: Shotgun sequencing & Gene. The author has an hindex of 5, co-authored 5 publications receiving 11296 citations. Previous affiliations of Daniel Paarmann include Bielefeld University & Argonne National Laboratory.

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The Sequence Analysis and Management System -- SAMS-2.0: data management and sequence analysis adapted to changing requirements from traditional sanger sequencing to ultrafast sequencing technologies.

TL;DR: The Sequence Analysis and Management System (SAMS) is a bioinformatics software platform with a database backend designed to support the computational analysis of whole genome shotgun (WGS) bacterial genome sequencing, cDNA sequencing by reading expressed sequence tags (ESTs) as well as sequence data obtained by ultrafast sequencing.
Journal ArticleDOI

Under the influence of the active deodorant ingredient 4-hydroxy-3-methoxybenzyl alcohol, the skin bacterium Corynebacterium jeikeium moderately responds with differential gene expression.

TL;DR: Besides many genes encoding proteins that apparently participate in transcription and translation, the drug resistance determinant cmx and the predicted virulence factors sapA and sapD showed significantly enhanced expression levels.