MongoDB Database as Storage for GPON Frames

Holík, Martin; Horváth, Tomáš; Oujezský, Václav; Münster, Petr; Tomašov, Adrián; Valach, Sobeslav

doi:10.3390/s20216208

Cited by 5 publications

(4 citation statements)

References 34 publications

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“…The Django REST framework is a powerful and flexible toolkit used for the development of Web APIs. All data in the database were stored in Mongodb (version 5.0.9) (Holik et al., 2020). The Linux operating system version is CentOS 8.2 64‐bit, and the network server version is Nginx (1.14.1).…”

Section: Methodsmentioning

confidence: 99%

GERDH: an interactive multi‐omics database for cross‐species data mining in horticultural crops

et al. 2023

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SUMMARYHorticultural plants contribute immensely to the quality of human's life. The rapid development of omics studies on horticultural plants has resulted in large volumes of valuable growth‐ and development‐related data. Genes that are essential for growth and development are highly conserved in evolution. Cross‐species data mining reduces the impact of species heterogeneity and has been extensively used for conserved gene identification. Owing to the lack of a comprehensive database for cross‐species data mining using multi‐omics data from all horticultural plant species, the current resources in this field are far from satisfactory. Here, we introduce GERDH (https://dphdatabase.com), a database platform for cross‐species data mining among horticultural plants, based on 12 961 uniformly processed publicly available omics libraries from more than 150 horticultural plant accessions, including fruits, vegetables and ornamental plants. Important and conserved genes that are essential for a specific biological process can be obtained by cross‐species analysis module with interactive web‐based data analysis and visualization. Moreover, GERDH is equipped with seven online analysis tools, including gene expression, in‐species analysis, epigenetic regulation, gene co‐expression, enrichment/pathway and phylogenetic analysis. By interactive cross‐species analysis, we identified key genes contributing to postharvest storage. By gene expression analysis, we explored new functions of CmEIN3 in flower development, which was validated by transgenic chrysanthemum analysis. We believe that GERDH will be a useful resource for key gene identification and will allow for omics big data to be more available and accessible to horticultural plant community members.

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Section: Methodsmentioning

confidence: 99%

GERDH: an interactive multi‐omics database for cross‐species data mining in horticultural crops

et al. 2023

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“…Images are stored as DICOM files on a filesystem hierarchy, using access control lists to manage authorization. Clinical data is stored on a Mongo DB (23) through standardized e-forms and authentication is based on OpenID (24). A set of services has been developed to map access permissions, mount selected data on virtual workstation consoles and persist access and data processing actions on a Blockchain registry.…”

Section: Distributed Architecture and It Infrastructure Of The Reposi...mentioning

confidence: 99%

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

Bonmatí¹,

Miguel²,

Suárez³

et al. 2022

Front. Oncol.

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The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year long, EU-funded project tackling some of the most ambitious research in the fields of biomedical imaging, artificial intelligence and cancer treatment, addressing the four types of cancer that currently have the highest prevalence worldwide: lung, breast, prostate and colorectal. To allow this, clinical partners and external collaborators will populate the repository with multimodality (MR, CT, PET/CT) imaging and related clinical data. Subsequently, AI developers will enable a multimodal analytical data engine facilitating the interpretation, extraction and exploitation of the information stored at the repository. The development and implementation of AI-powered pipelines will enable advancement towards automating data deidentification, curation, annotation, integrity securing and image harmonization. By the end of the project, the usability and performance of the repository as a tool fostering AI experimentation will be technically validated, including a validation subphase by world-class European AI developers, participating in Open Challenges to the AI Community. Upon successful validation of the repository, a set of selected AI tools will undergo early in-silico validation in observational clinical studies coordinated by leading experts in the partner hospitals. Tool performance will be assessed, including external independent validation on hallmark clinical decisions in response to some of the currently most important clinical end points in cancer. The project brings together a consortium of 18 European partners including hospitals, universities, R&D centers and private research companies, constituting an ecosystem of infrastructures, biobanks, AI/in-silico experimentation and cloud computing technologies in oncology.

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“…The Figure 3 shows the cooperation of the individual parts of the whole system with the SIRAP module, which is the subject of this paper. The rest of the components were presented in [2]- [6], [22].…”

Section: Proposal Of the Sirapmentioning

confidence: 99%

Security Incident Response Automation for xPON Networks

Oujezský

Horváth

Holík

2022

JCOMSS

Self Cite

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This paper presents a developed tool for automated security incident reporting in passive optical networks. This tool interacts with our programmable development card, developed detection modules, and TheHive project. The custom implementation of the solution has resulted in anomaly reporting templates for xPON networks that can be universally applied and new definitions of indicators of compromise. The custom implementation consists of a collector and middleware layer between the programmable card and Apache Kafka.

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MongoDB Database as Storage for GPON Frames

Cited by 5 publications

References 34 publications

GERDH: an interactive multi‐omics database for cross‐species data mining in horticultural crops

GERDH: an interactive multi‐omics database for cross‐species data mining in horticultural crops

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

Security Incident Response Automation for xPON Networks

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