Posts by Collection

portfolio

iRF_LOOPy

High-performance Python package for inferring Gene Regulatory Networks (GRNs) using Iterative Random Forest (iRF).

metnet-direct-auxiliary

Codebase for analyzing the link between fungal metabolomic outputs and exogenous treatment triggers.

RWRtoolkit

Command-line and R toolkit for performing Random Walk with Restart (RWR) analyses on multiplex biological networks.

publications

Synchronized genetic activities in Alzheimer’s brains revealed by heterogeneity‑capturing network analysis

Published in bioRxiv, 2020

Preprint using network heterogeneity analysis to reveal genetic synchrony in Alzheimer’s disease.

Recommended citation: Climer, S., Templeton, A.R., Garvin, M., Jacobson, D., Lane, M., et al. (2020). “Synchronized genetic activities in Alzheimer’s brains revealed by heterogeneity‑capturing network analysis.” bioRxiv.
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Lipo‑Chitooligosaccharides Induce Specialized Fungal Metabolite Profiles That Modulate Bacterial Growth

Published in mSystems, 2022

mSystems article on how lipo-chitooligosaccharides affect fungal metabolite profiles and microbial interactions.

Recommended citation: Rush, T. A., Tannous, J., Lane, M. J., … Ané, J.-M. (2022). “Lipo‑Chitooligosaccharides Induce Specialized Fungal Metabolite Profiles That Modulate Bacterial Growth.” mSystems.
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Exploring the role of plant lysin motif receptor‑like kinases in regulating plant‑microbe interactions in the bioenergy crop Populus

Published in Computational and Structural Biotechnology Journal, 2023

Journal article on plant lysin motif receptor-like kinases and their role in plant-microbe interactions in Populus.

Recommended citation: Cope, K. R., Prates, E. T., Miller, J. I., … Lane, M. (2023). “Exploring the role of plant lysin motif receptor‑like kinases in regulating plant‑microbe interactions in the bioenergy crop Populus.” Computational and Structural Biotechnology Journal.
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Genetics of varicose veins reveals polygenic architecture and genetic overlap with arterial and venous disease

Published in Nature Cardiovascular Research, 2023

Nature Cardiovascular Research article detailing the polygenic architecture of varicose veins.

Recommended citation: Levin, M. G., Huffman, J. E., Verma, A., … Lane, M. (2023). “Genetics of varicose veins reveals polygenic architecture and genetic overlap with arterial and venous disease.” Nature Cardiovascular Research.
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Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans

Published in JAMA Psychiatry, 2023

JAMA Psychiatry study identifying replicable genomic loci for suicidal thoughts and behaviors among 633,778 US military veterans through large-scale GWAS.

Recommended citation: Kimbrel, N. A., Ashley-Koch, A. E., Qin, X. J., Lindquist, J. H., … Lane, M. J., et al. (2023). “Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans.” JAMA Psychiatry, 80(2), 135–145.
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Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress

Published in ACM Conference, 2023

Conference paper studying abiotic stress impacts on agriculture and pandemic risk in plant species over time.

Recommended citation: Cashman, M., Vergara, V. G. M., Lane, M., et al. (2023). “Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress.” ACM Conference.
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A glimpse into the fungal metabolomic abyss: Novel network analysis reveals relationships between exogenous compounds and their outputs

Published in PNAS Nexus, 2023

PNAS Nexus article unveiling fungal metabolomic networks and compound relationships via network analysis.

Recommended citation: Meena, M. G., Lane, M. J., Tannous, J., et al. (2023). “A glimpse into the fungal metabolomic abyss: Novel network analysis reveals relationships between exogenous compounds and their outputs.” PNAS Nexus.
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Climate adaptation in P. trichocarpa: key adaptive loci identified for stomata and leaf traits

Published in bioRxiv, 2024

Preprint identifying genetic loci underlying climate-adaptive stomatal and leaf traits in Populus trichocarpa through GWAS and predictive modeling across over 1,300 genotypes.

Recommended citation: Klein, M. C., Meng, Z., Bailey-Bale, J., Milner, S., Shi, P., Muchero, W., … Lane, M., et al. (2024). “Climate adaptation in P. trichocarpa: key adaptive loci identified for stomata and leaf traits.” bioRxiv. https://doi.org/10.1101/2024.07.11.603099
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Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior

Published in Communications Biology, 2024

Peer-reviewed study introducing GRIN, a method for refining GWAS results using biological networks to uncover additional genes contributing to suicidal behavior across cohorts.

Recommended citation: Sullivan, K. A., Lane, M., Cashman, M., Miller, J. I., Pavicic, M., Walker, A. M., et al. (2024). “Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior.” Communications Biology, 7(1), 1360. https://doi.org/10.1038/s42003-024-06943-7
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Multi‑omic network analysis identifies dysregulated neurobiological pathways in opioid addiction

Published in Biological Psychiatry, 2024

Biological Psychiatry paper identifying neurobiological pathways related to opioid addiction via multi-omic network analysis.

Recommended citation: Sullivan, K. A., Kainer, D., Lane, M., et al. (2024). “Multi‑omic network analysis identifies dysregulated neurobiological pathways in opioid addiction.” Biological Psychiatry.
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Population and adaptation history of 739 Thlaspi arvense natural accessions

Published in bioRxiv, 2025

Preprint describing the genomic and phenotypic analysis of 739 pennycress accessions to guide climate-resilient domestication efforts.

Recommended citation: Wu, X., Epstein, R., Esfahanian, M., Gautam, B., Griffiths, M., Perez, J., … Lane, M., et al. (2025). “Population and adaptation history of 739 Thlaspi arvense natural accessions.” bioRxiv. https://doi.org/10.1101/2025.03.21.644658
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Genome shuffling enables quantitative trait locus mapping in Bacillus subtilis

Published in bioRxiv, 2025

Preprint describing the use of iterative genome shuffling to enable bacterial QTL mapping in Bacillus subtilis, revealing genotype–phenotype associations through recombination-enabled linkage analysis.

Recommended citation: Vasileva, D. P., Chhetri, H. B., Hochanadel, L. H., Streich, J. C., Lagergren, J. H., Lane, M. J., et al. (2025). “Genome shuffling enables quantitative trait locus mapping in Bacillus subtilis.” bioRxiv. https://doi.org/10.1101/2025.07.14.664384
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Climate adaptation in Populus trichocarpa: key adaptive loci identified for stomata and leaf traits

Published in New Phytologist, 2025

This study identifies genetic and physiological traits underpinning drought adaptation in Populus trichocarpa, a key bioenergy crop. By examining over 1300 genotypes in a large-scale field experiment, the authors reveal that stomatal and leaf traits—especially a major locus on chromosome 10—are tightly linked to climatic origin and are likely to evolve under future arid conditions. Their findings provide crucial targets for breeding resilient trees to meet biofuel demands on marginal lands in a changing climate.

Recommended citation: Klein, M. C., Meng, Z., Bailey‐Bale, J., Milner, S., Shi, P., Muchero, W., Chen, J., Tschaplinski, T. J., Jacobson, D., Lagergren, J., Lane, M., O’Brien, C., Chhetri, H., Abeyratne, C. R., Shu, M., Freer‐Smith, P., Buckley, T. N., Magney, T. S., Monroe, J. G., … Taylor, G. (2025). Climate adaptation in Populus trichocarpa: key adaptive loci identified for stomata and leaf traits. New Phytologist. https://doi.org/10.1111/nph.70343
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talks

teaching

Introduction to Computing with C++

Undergraduate course, University of Missouri - St. Louis, Department of Computer Science, 2019

An introductory computer science course (CS1250) for students with no prior programming background. This course builds a foundation in computational thinking and procedural programming using C++.

Advanced Web Programming with Javascript

Undergraduate course, University of Missouri - St. Louis, Department of Computer Science, 2020

Course material for CS4140, covering modern JavaScript frameworks and backend development techniques.

Introduction to Object Oriented Programming with Java

Undergraduate course, University of Missouri - St. Louis, Department of Computer Science, 2020

Course material for CS2261, covering Java fundamentals, objects, interfaces, abstract classes, and object-oriented programming principles.

Linux Systems Programming: Bash && C

Undergraduate course, University of Missouri - St. Louis, Department of Computer Science, 2020

This course (CS2700) is an introduction to Linux systems and system-level programming in C and Bash.