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This paper provides a technical overview of Genlib , an open-source software library developed within the Russian bioinformatics community for the reconstruction and analysis of Gene Regulatory Networks (GRNs). As systems biology shifts towards high-throughput data analysis, the need for robust algorithms to interpret gene-gene interactions has become critical. Genlib addresses this by implementing a suite of graph-theoretic and statistical methods designed to handle the high dimensionality and noise inherent in transcriptomic data. This paper details the library’s core architecture, its implementation of the "Reveal" and mutual information algorithms, and its application in modern computational biology workflows. genlib rus

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Originally developed by and later maintained/extended by the Russian computational linguistics community (including contributions to projects like AOT and Dialogue evaluations), GenLib is one of the key open resources for Russian morphology alongside OpenCorpora and Zaliznyak’s grammatical dictionary. Genlib addresses this by implementing a suite of

The library utilizes efficient graph data structures (adjacency lists and matrices) to represent network nodes and edges. It supports standard input formats such as CSV and specific bioinformatics formats like GCT (Gene Cluster Text).