GRiNS: a python library for simulating gene regulatory network dynamics

GRiNS enables parameter-agnostic modeling of gene regulatory networks to study their dynamic and steady-state behaviors in a scalable and efficient manner. The documentation and installation instructions for GRiNS can be found at https://moltenecdysone09.github.io/GRiNS/ .

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Publication Details

Journal
BMC Bioinformatics
Published
2025-10-17
DOI
https://doi.org/10.1186/s12859-025-06268-0
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

GRiNS: a python library for simulating gene regulatory network dynamics

Pradyumna Harlapur, Mohit Kumar Jolly, Harshavardhan BV
BMC Bioinformatics
Gene Regulatory Network Analysis
article

GRiNS: a python library for simulating gene regulatory network dynamics

Pradyumna Harlapur, Mohit Kumar Jolly, Harshavardhan BV
article en

Abstract

GRiNS enables parameter-agnostic modeling of gene regulatory networks to study their dynamic and steady-state behaviors in a scalable and efficient manner. The documentation and installation instructions for GRiNS can be found at https://moltenecdysone09.github.io/GRiNS/ .

BMC BioinformaticsVol. 26(1)
Indian Institute of Science Bangalore (IN)
Openalex Percentile: Top 74%
Gene Regulatory Network Analysis
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GRiNS: a python library for simulating gene regulatory network dynamics — Pradyumna Harlapur, Mohit Kumar Jolly, et al. · BMC Bioinformatics (2025) | TGRS Research Map | TGRS