首页> 外文期刊>Computational and Structural Biotechnology Journal >Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization
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Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization

机译:Abasy Atlas v2.2:Meta-Cutated,历史,细菌监管网络,他们的完整性和系统级别表征最全面和最新的库存

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Some organism-specific databases about regulation in bacteria have become larger, accelerated by high-throughput methodologies, while others are no longer updated or accessible. Each database homogenize its datasets, giving rise to heterogeneity across databases. Such heterogeneity mainly encompasses different names for a gene and different network representations, generating duplicated interactions that could bias network analyses. Abasy ( A cross- ba cteria sy stems) Atlas consolidates information from different sources into meta-curated regulatory networks in bacteria. The high-quality networks in Abasy Atlas enable cross-organisms analyses, such as benchmarking studies where gold standards are required. Nevertheless, network incompleteness still casts doubts on the conclusions of network analyses, and available sampling methods cannot reflect the curation process. To tackle this problem, the updated version of Abasy Atlas presented in this work provides historical snapshots of regulatory networks. Thus, network analyses can be performed at different completeness levels, making possible to identify potential bias and to predict future results. We leverage the recently found constraint in the complexity of regulatory networks to develop a novel model to quantify the total number of regulatory interactions as a function of the genome size. This completeness estimation is a valuable insight that may aid in the daunting task of network curation, prediction, and validation. The new version of Abasy Atlas provides 76 networks (204,282 regulatory interactions) covering 42 bacteria (64% Gram-positive and 36% Gram-negative) distributed in 9 species ( Mycobacterium tuberculosis, Bacillus subtilis, Escherichia coli, Corynebacterium glutamicum, Staphylococcus aureus, Pseudomonas aeruginosa, Streptococcus pyogenes, Streptococcus pneumoniae , and Streptomyces coelicolor ), containing 8459 regulons and 4335 modules. Database URL: https://abasy.ccg.unam.mx/.
机译:关于细菌中的一些有机体特异性数据库已经变大,通过高通量方法加速,而其他数据库则不再更新或可访问。每个数据库均匀化数据集,在数据库中产生异质性。这种异质性主要包括基因的不同名称和不同的网络表示,产生可以偏置网络分析的重复的相互作用。 Abasy(交叉BA CTERIA SY茎)ATLAS将不同来源的信息巩固到细菌中的META-Cutated调节网络中。 Abasy Atlas的高质量网络使得跨生物分析,例如需要金标准的基准研究。尽管如此,网络不完整性仍在对网络分析结论的疑虑,可用的采样方法无法反映策择流程。为了解决这个问题,这项工作中提供的Abasy Atlas的更新版本提供了监管网络的历史快照。因此,可以在不同的完整性水平下执行网络分析,使得可以识别潜在的偏差并预测未来的结果。我们利用最近发现的监管网络复杂性的约束来开发一种新型模型,以量化调节相互作用的总数作为基因组大小的函数。这个完整性估计是一个有价值的见解,可以帮助网络策策,预测和验证的艰巨任务。 Abasy Atlas的新版本提供76个网络(204,282个调节性相互作用),覆盖9种细菌(64%克阳性和36%革兰阴性)分布在9种(结核分枝杆菌,枯草芽孢杆菌,大肠杆菌,植物气谷氨酸,金黄色葡萄球菌,葡萄球菌假单胞菌铜绿假单胞菌,链球菌肺炎骨膜,肺炎链球菌和链霉菌含量),含有8459型调节和4335个模块。数据库网址:https://abasy.ccg.unam.mx/。

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