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BioASF: a framework for automatically generating executable pathway models specified in BioPAX., , , , , и . Bioinform., 32 (12): 60-69 (2016)Enabling grand-canonical Monte Carlo: Extending the flexibility of GROMACS through the GromPy python interface module., , , , , и . J. Comput. Chem., 33 (12): 1207-1214 (2012)Sequence harmony: detecting functional specificity from alignments., , , и . Nucleic Acids Res., 35 (Web-Server-Issue): 495-498 (2007)The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern., , , , , , , и . PLoS Comput. Biol., (2019)Tailor-made multiple sequence alignments using the PRALINE 2 alignment toolkit., , , , , и . Bioinform., 35 (24): 5315-5317 (2019)A Feature Selection Algorithm for Detecting Subtype Specific Functional Sites from Protein Sequences for Smad Receptor Binding., , , и . ICMLA, стр. 168-173. IEEE Computer Society, (2006)Structure and function analysis of flexible alignment regions in proteins., , , и . BMC Bioinform., 10 (S-13): 0 (2009)Petri Nets Are a Biologist's Best Friend., , , и . FMMB, том 8738 из Lecture Notes in Computer Science, стр. 102-116. Springer, (2014)Predicting the relationships between gut microbiota and mental disorders with knowledge graphs., , , , , и . Health Inf. Sci. Syst., 9 (1): 3 (2021)A framework for exhaustive modelling of genetic interaction patterns using Petri nets., , , , , и . Bioinform., 36 (7): 2142-2149 (2020)