Author

H. A. Sample

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:metagenomics· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

K. C. Zorn· 3 shared L. M. Khan· 3 shared A. Ramesh· 2 shared A. Soldatos· 2 shared B. D. O'Donovan· 2 shared C. Langelier· 2 shared D. Banerji· 2 shared J. L. DeRisi· 2 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersMicrobiology

K. C. Zorn

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3 papers

Recent·Most cited

Serological and metagenomic interrogation of cerebrospinal fluid implicates enteroviruses in pediatric acute flaccid myelitis

R. D. Schubert, I. Hawes, P. S. Ramachandran, A. Ramesh, E. D. Crawford, J. E. Pak, W. Wu, C. K. Cheung, B. D. O'Donovan, C. M. Tato, A. Lyden, M. Tan, R. Sit, G. Sowa, H. A. Sample, , Ob

This study identifies high levels of enterovirus antibodies in cerebrospinal fluid of children with acute flaccid myelitis compared to controls, suggesting a causal role for non-polio enteroviruses.

bioRxiv · Jun 19, 2019Microbiology

Pediatric Brainstem Encephalitis Outbreak Investigation with Metagenomic Next-Generation Sequencing

K. E. Leon, D. Casas-Alba, A. Ramesh, L. M. Khan, C. Launes, H. A. Sample, K. C. Zorn, A. Vallero-Rello, C. Langelier, C. Munoz-Almagro, J. L. DeRisi, M. R. Wilson

The paper investigates a pediatric brainstem encephalitis outbreak using metagenomic next-generation sequencing, finding that mNGS significantly improves EV-A71 detection in CSF and confirms the outbreak strain's relation to a neuroinvasive isolate.

bioRxiv · Sep 12, 2018 · PreprintMicrobiology

Metagenomics for chronic meningitis: clarifying interpretation and diagnosis

M. R. Wilson, B. D. O'Donovan, J. M. Gelfand, H. A. Sample, F. C. Chow, J. P. Betjemann, M. P. Shah, M. B. Richie, M. P. Gorman, R. A. Hajj-Ali, L. H. Calabrese, K. C. Zorn, J. E. Greenlee, J. H. Blum, G. Green, , J. L. DeRisi

This study uses metagenomic next-generation sequencing of cerebrospinal fluid to identify pathogens in patients with subacute or chronic meningitis, using a z-score based scoring algorithm to distinguish true pathogens from environmental contaminants.

bioRxiv · Nov 7, 2017Microbiology