Author

Katherine N. Maloney

Point Loma Nazarene UniversityORCID 0000-0003-3472-7593Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 2 Approach:experimental assay· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Daniel PetrasiD· 2 shared Itzhak MizrahiiD· 2 shared Michaël M. MeijleriD· 2 shared Mingxun WangiD· 2 shared Morgan W. PanitchpakdiiD· 2 shared Pieter C. DorresteiniD· 2 shared Rachel GregoriD· 2 shared Robin SchmidiD· 2 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Daniel PetrasORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BiochemistryJournal of the American Chemical SocietyPeer-reviewedJan 15, 2026

Flavoaffinins, elusive cellulose-binding natural products from an anaerobic bacterium

Duncan J. Kountz, Ruocheng Yu, Jessie H. Lee…·Emily P. Balskus

This study isolates and characterizes flavoaffinins, yellow-orange cellulose-binding pigments from Clostridium thermocellum, revealing their unique structure and biosynthesis.

1 citation

bacteria (other)experimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 5, 2021

GNPS Dashboard: Collaborative Analysis of Mass Spectrometry Data in the Web Browser

Daniel Petras, Vanessa V. Phelan, Deepa D. Acharya…·Mingxun Wang

The paper introduces a web-based tool for collaborative analysis of mass spectrometry data, enabling remote inspection, visualization, and analysis of private and public datasets.

13 citations

metagenomicsexperimental assay

𝕏 PostBluesky

BioinformaticsNature BiotechnologyPeer-reviewedNov 9, 2020

Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS.

Alexander A. Aksenov, Ivan Laponogov, Zheng Zhang…·Kirill Veselkov

The paper develops a machine learning workflow for auto-deconvolution of GC-MS data within GNPS, enabling molecular networking and applications in breathomics and volatilome mapping.

184 citationstop 2%

humanmetagenomics

𝕏 PostBluesky