Author

J. Neu

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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Bioengineering· 2 Microbiology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

B. Lau· 2 shared C. Bazacliu· 2 shared D. de la Cruz· 2 shared E. W. Triplett· 2 shared H. Ji· 2 shared J. L. Ruoss· 2 shared J. Mardia· 2 shared J. T. Russell· 2 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioengineering

B. Lau

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Antibiotics and the developing intestinal microbiome, metabolome and inflammatory environment: a randomized trial of preterm infants

J. T. Russell, J. L. Ruoss, D. de la Cruz, N. Li, C. Bazacliu, L. Patton, K. Lobean McKinley, T. J. Garrett, R. A. Polin, E. W. Triplett, J. Neu

This study examines the impact of early antibiotic use on the gut microbiome, metabolome, and inflammatory environment in preterm infants through a randomized trial.

Scientific Reports · Jan 21, 2021Peer-reviewedMicrobiology

Antibiotics effects on the fecal metabolome in preterm infants

L. Patton, N. Li, T. J. Garrett, J. L. Ruoss, J. T. Russell, D. de la Cruz, C. Bazacliu, R. A. Polin, E. W. Triplett, J. Neu

This study compares fecal metabolites in preterm infants exposed to antibiotics versus those not exposed within the first 48 hours after birth, finding significant differences in metabolic pathways.

bioRxiv · Jun 26, 2020Microbiology

Overcoming high nanopore basecaller error rates for DNA storage via basecaller-decoder integration and convolutional codes

S. Chandak, J. Neu, K. Tatwawadi, J. Mardia, B. Lau, M. Kubit, R. Hulett, P. Griffin, M. Wootters, T. Weissman, H. Ji

The paper reduces nanopore DNA sequencing error rates by integrating a Viterbi decoder with a basecaller and using convolutional codes, achieving lower reading costs than existing methods.

bioRxiv · Dec 20, 2019 · PreprintBioengineering

Improved read/write cost tradeoff in DNA-based data storage using LDPC codes

S. Chandak, K. Tatwawadi, B. Lau, J. Mardia, M. Kubit, J. Neu, P. Griffin, M. Wootters, T. Weissman, H. Ji

This paper improves the read/write cost tradeoff in DNA-based storage by using a single LDPC code for both erasure and error correction, achieving 30-40% lower reading costs on experimental data.

bioRxiv · Sep 27, 2019 · PreprintBioengineering