Obtaining PDC and other high-added value products from lignin by in silico genetic engineering in Novosphingobium aromaticivorans [0.03%]
通过计算基因组工程在Novosphingobium aromaticivorans中从木质素获取PDC和其他高附加值产物
Isabel María Fernández,Francisco Guil,José Manuel García
Isabel María Fernández
Lignin, the second most abundant plant biopolymer on Earth, is produced in large quantities as waste material by many industries. Researchers have studied bacterial metabolic networks as potential candidates for integrating lignin into a bi...
Systems biology graphical notation: process description language level 1 version 2.1 [0.03%]
系统生物学图形标示法：过程描述语言第1级 第2.1版
Hasan Balci,Adrien Rougny,Rupert Overall et al.
Hasan Balci et al.
The Systems Biology Graphical Notation (SBGN) is an international community effort to standardize the visualization of pathways and networks, making them accessible to scientists from diverse fields while facilitating efficient and ac-curat...
Functional and evolutionary characteristics of human genes encoding cell surface receptors involved in the regulation of appetite [0.03%]
与食欲调节有关的人类细胞表面受体的功能和进化特征
Elena Ignatieva,Sergey Lashin,Roman Ivanov et al.
Elena Ignatieva et al.
Appetite is an instinct that has been formed through evolution. Appetite promotes normal growth and development in humans. However, under conditions of food abundance, appetite can become excessive, posing significant health risks. In this ...
Streamlining feature elaboration and statistics analysis in metabolomics: the GetFeatistics R-package [0.03%]
代谢组学中特征详述及统计分析的简化：GetFeatistics R包
Gianfranco Frigerio
Gianfranco Frigerio
Metabolomics studies require complex data processing pipelines to ensure data quality and extract meaningful biological insights. GetFeatistics is an R-package developed to streamline the elaboration and statistical analysis of metabolomics...
Colon cancer survival prediction from gland shapes within histology slides using deep learning [0.03%]
利用深度学习从组织切片中的腺体形状预测结肠癌患者的生存率
Rawan Gedeon,Atulya Nagar
Rawan Gedeon
This study investigates the application of deep learning techniques for segmenting glands in histopathological images of colorectal cancer. We trained two convolutional neural network models, U-Net and DCAN, on a combination of the GlaS and...
Editorial - 20 years Journal of Integrative Bioinformatics [0.03%]
集成生物信息学期刊二十年创新发展之路——《整合生物信息学杂志》创刊二十周年社论
Ralf Hofestädt
Ralf Hofestädt
Sustainable software development in science - insights from 20 years of Vanted [0.03%]
科学中的可持续软件开发——来自Vanted的20年见解
Falk Schreiber,Tobias Czauderna,Dimitar Garkov et al.
Falk Schreiber et al.
Sustainable software development requires the software to remain accessible and maintainable over long time. This is particularly challenging in a scientific context. For example, fewer than one third of tools and platforms for biological n...
Metagenome and metabolome study on inhaled corticosteroids in asthma patients with side effects [0.03%]
ICS伴发副作用的哮喘患者元基因组和元代谢组研究
Igor Goryanin,Anatoly Sorokin,Meder Seitov et al.
Igor Goryanin et al.
This study investigates the gut microbiome and metabolome of asthma patients treated with inhaled corticosteroids (ICS), some of whom experience adverse side effects. We analyzed stool samples from 24 participants, divided into three cohort...
Petri net modeling and simulation of post-transcriptional regulatory networks of human embryonic stem cell (hESC) differentiation to cardiomyocytes [0.03%]
人胚胎干细胞分化为心肌细胞的转录后调控网络的petri网建模与仿真
Aruana F F Hansel-Fröse,Christoph Brinkrolf,Marcel Friedrichs et al.
Aruana F F Hansel-Fröse et al.
Stem cells are capable of self-renewal and differentiation into various cell types, showing significant potential for cellular therapies and regenerative medicine, particularly in cardiovascular diseases. The differentiation to cardiomyocyt...
Leveraging transformers for semi-supervised pathogenicity prediction with soft labels [0.03%]
利用软标签进行半监督病理预测的变压器方法研究
Pablo Enrique Guillem,Marco Zurdo-Tabernero,Noelia Egido Iglesias et al.
Pablo Enrique Guillem et al.
The rapid advancement of Next-Generation Sequencing (NGS) technologies has revolutionized the field of genomics, producing large volumes of data that necessitate sophisticated analytical techniques. This paper introduces a Deep Learning mod...