Richard H. Scheuermann
Affiliations: | J. Craig Venter Institute, San Diego, CA, United States |
Website:
https://www.jcvi.org/about/richard-scheuermannGoogle:
"Richard Scheuermann"Bio:
Parents
Sign in to add mentorHarrison Echols | grad student | 1986 | UC Berkeley (Chemistry Tree) | |
(Replication Fidelity in Escherichia Coli by DNA Polymerase III: The Role of Exonucleolytic Editing in Spontaneous and Induced Mutagenesis) |
Children
Sign in to add traineeRoger Larken Chang | research assistant | 2007 | University of Texas Southwester Medical Center (Computational Biology Tree) |
Adrienne M Hammill | grad student | 2001 | UT Southwestern |
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Publications
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Yuste R, Hawrylycz M, Aalling N, et al. (2020) A community-based transcriptomics classification and nomenclature of neocortical cell types. Nature Neuroscience |
Grifoni A, Sidney J, Zhang Y, et al. (2020) A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2. Cell Host & Microbe |
Hodge RD, Bakken TE, Miller JA, et al. (2019) Conserved cell types with divergent features in human versus mouse cortex. Nature |
Bakken TE, Hodge RD, Miller JA, et al. (2018) Single-nucleus and single-cell transcriptomes compared in matched cortical cell types. Plos One. 13: e0209648 |
Brown DM, Hixon AM, Oldfield LM, et al. (2018) Contemporary Circulating Enterovirus D68 Strains Have Acquired the Capacity for Viral Entry and Replication in Human Neuronal Cells. Mbio. 9 |
Aevermann BD, Novotny M, Bakken T, et al. (2018) Big data and single cell transcriptomics: implications for ontological representation. Human Molecular Genetics |
Bakken T, Cowell L, Aevermann BD, et al. (2017) Cell type discovery and representation in the era of high-content single cell phenotyping. Bmc Bioinformatics. 18: 559 |
Scheuermann RH, Bui J, Wang HY, et al. (2017) Automated Analysis of Clinical Flow Cytometry Data: A Chronic Lymphocytic Leukemia Illustration. Clinics in Laboratory Medicine. 37: 931-944 |
Pedersen NW, Chandran PA, Qian Y, et al. (2017) Automated Analysis of Flow Cytometry Data to Reduce Inter-Lab Variation in the Detection of Major Histocompatibility Complex Multimer-Binding T Cells. Frontiers in Immunology. 8: 858 |
Sun G, Larsen CN, Baumgarth N, et al. (2017) Comprehensive Annotation of Mature Peptides and Genotypes for Zika Virus. Plos One. 12: e0170462 |