Search results for " Omics"

showing 3 items of 13 documents

Status and prospects of systems biology in grapevine research

2019

The cultivated grapevine, Vitis vinifera L., has gathered a vast amount of omics data throughout the last two decades, driving the imperative use of computational resources for its analysis and integration. Molecular systems biology arises from this need allowing to model and predict the emergence of phenotypes or responses in biological systems. Beyond single omics networks, integrative approaches associate the molecular components of an organism and combine them into higher order networks to model dynamic behaviors. Application of network-based methods in multi-omics data is providing additional resources to address important questions regarding grapevine fruit quality and composition. He…

Settore BIO/11 - BIOLOGIA MOLECOLAREMulti-omicsExploitComputer scienceSystems biologyIntegrative analysisMolecular systemsRegulatory networkData scienceOmics dataMulti omicsGene co-expressionVitis viniferaOrganism
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Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes

2023

Legumes, and especially pulses, are an important source of protein for food and feed, and are appreciated for their positive impact on the “one health”. However, their unstable yields and their susceptibility to biotic and abiotic stresses highlight the need for varietal improvement in order to increase the cultivated areas and productivity. With the advent of sequencing technologies, a large pool of genetic and -omics resources, heterogeneous at the inter- and intra-species scale, is emerging. Thus, it is important to capitalize on these scattered heterogeneous data to develop translational research to boost breeding projects and crop diversification. To meet this need, we undertook the de…

[SDV] Life Sciences [q-bio]quantitative geneticslegumesgraph databasegene expressioncomparative omicsontologyorthology
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Integrative Gene Expression and Metabolic Analysis Tool IgemRNA

2022

ABSTRACTGenome scale metabolic modelling is widely used technique to research metabolism impacts on organism’s properties. Additional omics data integration enables a more precise genotype-phenotype analysis for biotechnology, medicine and life sciences. Transcriptome data amounts rapidly increase each year. Many transcriptome analysis tools with integrated genome scale metabolic modelling are proposed. But these tools have own restrictions, compatibility issues and the necessity of previous experience and advanced user skills. We have analysed and classified published tools, summarized possible transcriptome pre-processing, and analysis methods and implemented them in the new transcriptome…

business.industryComputer scienceProcess (engineering)Metabolic networkData validationComputational biologyBiochemistryToolboxTranscriptomeSoftwaregenome-scale metabolic modeling; transcriptomics; software engineering; Cobra Toolbox 3.0; MATLAB; flux balance analysis; flux variability analysis; omics data analysisbusinessFlux (metabolism)Molecular BiologyGraphical user interfaceBiomolecules; Volume 12; Issue 4; Pages: 586
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