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Articles by Schäffer AA
Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models
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PSI-BLAST pseudocounts and the minimum description length principle
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Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations
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Genome-wide DNA methylation profiling of HPV-negative leukoplakia and gingivobuccal complex cancers
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Beyond Synthetic Lethality: Charting the Landscape of Pairwise Gene Expression States Associated with Survival in Cancer
doi: 10.1016/j.celrep.2019.06.067. Affiliations Affiliations 1 Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA; Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
StrainSeeker: fast identification of bacterial strains from raw sequencing reads using user-provided guide trees
Pathogenic bacteria represent a considerable danger for human health worldwide. For effective outbreak detection and epidemiological surveillance, bacterial pathogens must be rapidly identified. For this, the pathogen is usually isolated and various molecular typing methods used, most are based on polymerase chain reaction, or, in the last few years, whole-genome sequencing (WGS) (Inouye et al., 2014; Hasman et al., 2014).
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