生物系统计算建模的进展:第七届SysMod年会

IF 4.4 3区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Bioinformatics Pub Date : 2023-09-01 DOI:10.1093/bioinformatics/btad539

Bhanwar Lal Puniya, Andreas Dräger

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引用次数: 0

摘要

系统生物学计算建模(SysMod)特殊兴趣社区(COSI)每年在智能系统分子生物学(ISMB)会议上召开一次会议，以促进跨学科领域系统建模的知识传播和研究成果的交流。SysMod会议2022在威斯康星州麦迪逊以混合模式举行，为期1天，主要讨论建模技术、应用和单细胞技术实现。会议展示了使用细胞特异性和多尺度建模、多组学数据集成以及使用单细胞和多组学技术开发系统模型的新工具来建模生物系统的创新方法。会议还颁发了三张最佳海报，以表彰杰出的研究。本报告总结了会议的主要亮点和成果。可用性和实施:所有资源和进一步的信息都可以在https://sysmod.info上免费获取。

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Advancements in computational modelling of biological systems: seventh annual SysMod meeting

Abstract Summary The Computational Modelling of Systems Biology (SysMod) Community of Special Interest (COSI) convenes annually at the Intelligent Systems for Molecular Biology (ISMB) conference to facilitate knowledge dissemination and exchange of research findings on systems modelling from interdisciplinary domains. The SysMod meeting 2022 was held in a hybrid mode in Madison, Wisconsin, spanning a 1-day duration centred on modelling techniques, applications, and single-cell technology implementations. The meeting showcased innovative approaches to modelling biological systems using cell-specific and multiscale modelling, multiomics data integration, and novel tools to develop systems models using single-cell and multiomics technology. The meeting also recognized outstanding research by awarding the three best posters. This report summarizes the key highlights and outcomes of the meeting. Availability and implementation: All resources and further information are freely accessible at https://sysmod.info.

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来源期刊

Bioinformatics 生物-生化研究方法

CiteScore

11.20

自引率

5.20%

发文量

753

审稿时长

2.1 months

期刊介绍： The leading journal in its field, Bioinformatics publishes the highest quality scientific papers and review articles of interest to academic and industrial researchers. Its main focus is on new developments in genome bioinformatics and computational biology. Two distinct sections within the journal - Discovery Notes and Application Notes- focus on shorter papers; the former reporting biologically interesting discoveries using computational methods, the latter exploring the applications used for experiments.