Author

Jennifer R. Smith

Medical College of WisconsinORCID 0000-0002-6443-9376Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:rat· 2 Assay:whole-genome sequencing· 2 Organism:C. elegans· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1

Frequent Co-Authors

Anne E. KwitekiD· 3 shared G. Thomas HaymaniD· 2 shared A. Jordan WrightiD· 1 shared Aaron M. ZorniD· 1 shared Abraham A. PalmeriD· 1 shared Adam C GibsoniD· 1 shared Ajay Shrivatsav· 1 shared Alan TraceyiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Anne E. KwitekORCID

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3 papers

Recent·Most cited

A revamped rat reference genome improves the discovery of genetic diversity in laboratory rats

Tristan V. de Jong, Yanchao Pan, Pasi M. A. Rastas, Daniel B. Munro, Monika Tutaj, Huda Akil, Christopher W. Benner, Denghui Chen, Apurva S. Chitre, William Chow, Vincenza Colonna, Clifton L. Dalgard, Wendy Demos, Peter A. Doris, Erik P. Garrison, , Hao Chen

The paper presents an improved rat reference genome, mRatBN7.2, which enhances genomic, transcriptomic, and proteomics data mapping and identifies millions of genetic variations across rat strains.

Cell Genomics · Mar 26, 2024Peer-reviewedGenomics

Updates to the Alliance of Genome Resources Central Infrastructure

Suzi Aleksander, Anna V. Anagnostopoulos, Giulia Antonazzo, Valerio Arnaboldi, Helen L. Attrill, Andrés Becerra, Susan M Bello, Olin Blodgett, Yvonne M. Bradford, Carol J. Bult, Scott Cain, Brian R. Calvi, Seth Carbon, Juancarlos Chan, Wen J. Chen, , Aaron M. Zorn

The paper updates the Alliance of Genome Resources' central infrastructure, adding tools and enhancing data management and curation capabilities.

bioRxiv · Nov 20, 2023 · PreprintBioinformatics

NECo: A node embedding algorithm for multiplex heterogeneous networks

Cagatay Dursun, Jennifer R. Smith, G. Thomas Hayman, Anne E. Kwitek, Serdar Bozdag

NECo is a node embedding algorithm for multiplex heterogeneous networks that outperforms existing methods in classifying hypertension-related genes using rat disease models.

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 16, 2020Peer-reviewedBioinformatics