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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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A network-based model of Aspergillus fumigatus elucidates regulators of development and defensive natural products of an opportunistic pathogen

Authors: Halberg-Spencer, Spencer;

A network-based model of Aspergillus fumigatus elucidates regulators of development and defensive natural products of an opportunistic pathogen

Abstract

The uploaded files are preprocessed datasets and code used for the Gene Regulatory Network Inference of Aspergillus (GRAsp) . GRAsp is a gene regulatory network for Aspergillus fumigatus, inferred using publically available data. For details please refer to Carriel, C., Halberg-Spencer, S., and Kotvanova, M., et. al. A network-based model of Aspergillus fumigatus elucidates regulators of development and defensive natural products of an opportunistic pathogen. Nucleic Acids Research (2025). The included directories contain the following files: GRAspV4.tar.gz - The processed network and Rscripts used to create the RShiny App (V4) of GRAsp. The Rshiny App can be accessed here: https://grasp.wid.wisc.edu/ Programs.tar.gz - Programs utilized for the data preparation and network inference task. Results.tar.gz - All inferred networks and TFA profiles used for this work. Data.tar.gz - The prior networks, motif instances, processed RNA-seq data used for this project. Associated README's can be found in each of the individual directories. For more inforamtion please contact Dr. Sushmita Roy or Dr. Nancy Keller at the University of Wisconsin-Madison.

Related Organizations
Keywords

Aspergillus fumigatus, Gene Regulatory Networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average