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Lenwood S. Heath

Lenwood S. Heath

D-Index & Metrics

Computer Science

D-Index
39
Citations
7395
World Ranking
9674
National Ranking
4095

Overview

Lenwood S. Heath is affiliated with Virginia Tech in the United States. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with significant contributions in Molecular Biology, Plant Science, Computational Theory and Mathematics, Ecology, and Genetics.

The scientist's work spans several main research topics:

  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Plant Pathogenic Bacteria Studies
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Microbial Community Ecology and Physiology
  • Antibiotic Resistance in Bacteria

Some of the recent papers by Lenwood S. Heath include:

  • Next generation sequencing approaches to evaluate water and wastewater quality, 2021, Water Research
  • LINbase: a web server for genome-based identification of prokaryotes as members of crowdsourced taxa, 2020, Nucleic Acids Research
  • Meta-analysis of the Ralstonia solanacearum species complex (RSSC) based on comparative evolutionary genomics and reverse ecology, 2022, Microbial Genomics
  • ARGminer: a web platform for the crowdsourcing-based curation of antibiotic resistance genes, 2020, Bioinformatics
  • Systematic auditing is essential to debiasing machine learning in biology, 2021, Communications Biology

Frequent co-authors of Heath's work include:

  • Arnold L. Rosenberg
  • Boris A. Vinatzer
  • Reza Mazloom
  • Amy Pruden
  • Parul Sharma

Common publication venues where Heath has contributed multiple papers are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS ONE
  • Scientific Reports
  • Microbial Genomics
  • Frontiers in Microbiology

Heath has also contributed to academic book literature, with a publication titled Understanding Computation released in 2022 through Springer International Publishing.

Best Publications

  • H++: a server for estimating pKas and adding missing hydrogens to macromolecules

    John C. Gordon;Jonathan B. Myers;Timothy Folta;Valia Shoja

  • DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.

    Gustavo Arango-Argoty;Emily Garner;Amy Pruden;Lenwood S. Heath

  • Users, user interfaces, and objects: Envision, a digital library

    Edward A. Fox;Deborah Hix;Lucy T. Nowell;Dennis J. Brueni

  • Visualizing search results: some alternatives to query-document similarity

    Lucy Terry Nowell;Deborah Hix;Lenwood S. Heath

  • Laying out graphs using queues

    Lenwood S. Heath;Arnold L. Rosenberg

  • Photosynthetic Acclimation Is Reflected in Specific Patterns of Gene Expression in Drought-Stressed Loblolly Pine

    Jonathan I. Watkinson;Allan A. Sioson;Cecilia Vasquez-Robinet;Maulik Shukla

  • The PMU Placement Problem

    Dennis J. Brueni;Lenwood S. Heath

  • Comparing queues and stacks as mechanisms for laying out graphs

    Lenwood S. Heath;Frank Thomson Leighton;Arnold L. Rosenberg

  • Practical minimal perfect hash functions for large databases

    Edward A. Fox;Lenwood S. Heath;Qi Fan Chen;Amjad M. Daoud

  • MetaCompare: a computational pipeline for prioritizing environmental resistome risk

    Min Oh;Amy Pruden;Chaoqi Chen;Lenwood S Heath

  • Stack and Queue Layouts of Directed Acyclic Graphs: Part I

    Lenwood S. Heath;Sriram V. Pemmaraju;Ann N. Trenk

  • DeNovo: virus-host sequence-based protein-protein interaction prediction.

    Fatma-Elzahraa Eid;Mahmoud ElHefnawi;Lenwood S. Heath

  • NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes

    Gustavo Arango-Argoty;Dongjuan Dai;Amy Pruden;Peter J. Vikesland

  • Order-preserving minimal perfect hash functions and information retrieval

    Edward A. Fox;Qi Fan Chen;Amjad M. Daoud;Lenwood S. Heath

  • Next generation sequencing approaches to evaluate water and wastewater quality.

    Emily Garner;Benjamin C. Davis;Erin Milligan;Matthew Forrest Blair

  • Envision: a user-centered database of computer science literature

    Lenwood S. Heath;Deborah Hix;Lucy T. Nowell;William C. Wake

  • Graph Separators, with Applications

    Arnold Rosenberg;Lenwood S. Heath

  • Stack and Queue Layouts of Directed Acyclic Graphs: Part II

    Unknown

  • Embedding Planar Graphs In Seven Pages

    L. Heath

  • Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos

    Eva Collakova;Delasa Aghamirzaie;Yihui Fang;Curtis Klumas

  • Stack and Queue Layouts of Posets

    Lenwood S. Heath;Sriram V. Pemmaraju

  • The pagenumber of k -trees is O( k )

    Joseph L. Ganley;Lenwood S. Heath

Frequent Co-Authors

Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Amy Pruden
Amy Pruden Virginia Tech
Edward A. Fox
Edward A. Fox Virginia Tech
Arnold L. Rosenberg
Arnold L. Rosenberg University of Massachusetts Amherst
Hans J. Bohnert
Hans J. Bohnert University of Illinois at Urbana-Champaign
João C. Setubal
João C. Setubal Universidade de São Paulo
Layne T. Watson
Layne T. Watson Virginia Tech
Ronald R. Sederoff
Ronald R. Sederoff North Carolina State University
Kasper Lage
Kasper Lage Harvard University
Sorin Istrail
Sorin Istrail Brown University

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