Academic Journal
GENETTA: a Network-Based Tool for the Analysis of Complex Genetic Designs
| العنوان: | GENETTA: a Network-Based Tool for the Analysis of Complex Genetic Designs |
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| المؤلفون: | Crowther, Matthew, Wipat, Anil, Goñi-Moreno, Ángel |
| المساهمون: | Comunidad de Madrid, Agencia Estatal de Investigación (España), Ministerio de Ciencia e Innovación (España), European Commission, Crowther, Matthew, Wipat, Anil, Goñi-Moreno, Ángel |
| بيانات النشر: | American Chemical Society |
| سنة النشر: | 2023 |
| المجموعة: | Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council) |
| مصطلحات موضوعية: | SBOL, Computer-aided design, Data analysis, Genetic design, Knowledge graph, Networks |
| الوصف: | 5 Pág. ; GENETTA is a software tool that transforms synthetic biology designs into networks using graph theory for analysis and manipulation. By representing complex data as interconnected points, GENETTA allows dynamic customization of visualizations, including interaction networks and parts hierarchies. It can also merge design data from multiple databases, providing a unified perspective. The generated interactive network can be edited by adding nodes and edges, simplifying changes to existing design files. This article presents GENETTA and its features through specific use cases, showcasing its practical applications. ; This work was supported by the Grants BioSinT-CM (Y2020/TCS-6555) and CONTEXT (Atracción de Talento Program; 2019-T1/BIO-14053) Projects of the Comunidad de Madrid, MULTI-SYSBIO (PID2020-117205GA-I00) and the Severo Ochoa Program for Centres of Excellence in R&D (CEX2020-000999-S) funded by MCIN/AEI/10.13039/501100011033, the ECCO (ERC-2021-COG-101044360) Contract of the EU, and the EPSRC studentship 34000024085 (M.C.) ; With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2020‐000999‐S) ; Peer reviewed |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2161-5063 |
| Relation: | #PLACEHOLDER_PARENT_METADATA_VALUE#; S2020/TCS-6555; S2019-T1/BIO-14053; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117205GA-I00/ES/IMPLEMENTAR RELACIONES SOCIALES EN SISTEMAS MULTICELULARES SINTETICOS PARA ALCANZAR BIOCOMPUTACIONES ROBUSTAS Y FIABLES /; info:eu-repo/grantAgreement/EC//ERC-2021-COG-101044360; Centro de Biotecnología y Genómica de Plantas (CBGP); Publisher's version; https://doi.org/10.1021/acssynbio.3c00333; Sí; ACS Synthetic Biology 12(12): 3766-3770 (2023); CEX2020-000999-S; http://hdl.handle.net/10261/348138; 2-s2.0-85179165415; https://api.elsevier.com/content/abstract/scopus_id/85179165415 |
| DOI: | 10.1021/acssynbio.3c00333 |
| الاتاحة: | http://hdl.handle.net/10261/348138 https://doi.org/10.1021/acssynbio.3c00333 https://api.elsevier.com/content/abstract/scopus_id/85179165415 |
| Rights: | open |
| رقم الانضمام: | edsbas.41ECF199 |
| قاعدة البيانات: | BASE |
| تدمد: | 21615063 |
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| DOI: | 10.1021/acssynbio.3c00333 |