Lee Ann McCue - researchr alias

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Viewing Publication 1 - 14 from 14

2021

Leveraging Ontologies within the National Microbiome Data CollaborativeWilliam D. Duncan, Faiza Ahmed, Fnu Anubhav, Jeffrey Baumes, Jonathan Beezley, Mark Borkum, Lisa M. Bramer, Shane Canon, Patrick S. G. Chain, Danielle Christianson, Yuri Corilo, Karen Davenport, Brandon Davis, Meghan Drake, Kjiersten Fagnan, Mark Flynn, David Hays, Bin Hu, Marcel Huntemann, Julia Kelliher, Sofya Lebedeva, Po-E Li, Mary Lipton, Chien-Chi Lo, Douglas Mans, Stanton Martin, Lee Ann McCue, David Millard 0002, Kayd Miller, Nigel Mouncey, Paul Piehowski, Elais Player Jackson, Anastasiya Prymolenna, Samuel Purvine, Tbk Reddy, Rachel Richardson, Migun Shakya, Montana Smith, Jagadish Chandrabose Sundaramurthi, Mark A. Miller, Deepak R. Unni, Pajau Vangay, Bruce Wilson, Donald Winston, Elisha A. Wood-Charlson, Yan Xu, Emiley A. Eloe-Fadrosh, Christopher J. Mungall. icbo 2022: 141-143 [doi]

2020

ftmsRanalysis: An R package for exploratory data analysis and interactive visualization of FT-MS dataLisa M. Bramer, Amanda M. White, Kelly G. Stratton, Allison M. Thompson, Daniel Claborne, Kirsten Hofmockel, Lee Ann McCue. ploscb, 16(3), 2020. [doi]

ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence dataSilas Kieser, Joseph Brown, Evgeny M. Zdobnov, Mirko Trajkovski, Lee Ann McCue. bmcbi, 21(1):257, 2020. [doi]

2018

Hundo: a Snakemake workflow for microbial community sequence dataJoseph Brown, Nicole Zavoshy, Colin J. Brislawn, Lee Ann McCue. peerjpre, 6, 2018. [doi]

2017

FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control toolJoseph W. Brown, Megan Pirrung, Lee Ann McCue. bioinformatics, 33(19):3137-3139, 2017. [doi]

2013

SPOCS: software for predicting and visualizing orthology/paralogy relationships among genomesDarren Curtis, Aaron Phillips, Stephen J. Callister, Sean Conlan, Lee Ann McCue. bioinformatics, 29(20):2641-2642, 2013. [doi]

2009

A Bayesian Integration Model of High-Throughput Proteomics and Metabolomics Data for Improved Early Detection of Microbial InfectionsBobbie-Jo M. Webb-Robertson, Lee Ann McCue, Nathaniel Beagley, Jason McDermott, David S. Wunschel, Susan M. Varnum, Jian Zhi Hu, Nancy G. Isern, Garry W. Buchko, Kathleen Mcateer, Joel G. Pounds. psb 2009: 451-463 [doi]

2008

Measuring Global Credibility with Application to Local Sequence AlignmentBobbie-Jo M. Webb-Robertson, Lee Ann McCue, Charles E. Lawrence. ploscb, 4(5), 2008. [doi]

2007

2006

Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledgeChristopher S. Oehmen, Lee Ann McCue, Joshua N. Adkins, Katrina M. Waters, Tim Carlson, William R. Cannon, Bobbie-Jo M. Webb-Robertson, Douglas J. Baxter, Elena S. Peterson, Mudita Singhal, Anuj R. Shah, Kyle R. Klicker. sc 2006: 299 [doi]

1998

Bayesian Protein Family ClassifierKunbin Qu, Lee Ann McCue, Charles E. Lawrence. ismb 1998: 131-139

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