Computational biology in plants

  • How is computational biology used?

    Computational biology is the science that answers the question “How can we learn and use models of biological systems constructed from experimental measurements?” These models may describe what biological tasks are carried out by particular nucleic acid or peptide sequences, which gene (or genes) when expressed produce .

  • Is bioinformatics related to botany?

    Bioinformatics plays an essential role in today's plant science.
    As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction..

  • What is bioinformatics in botany?

    Bioinformatics is defined as the application of tools of computation and analysis to the capture and interpretation of biological data.
    It is an interdisciplinary field, which harnesses computer science, mathematics, physics, and biology (fig ​ 1)..

  • What is the application of bioinformatics in plant pathology?

    Bioinformatics tools, techniques and databases can be used to identify potential genes, and target protein for host–pathogen interaction, drug designing and discovery and harvesting biological information from the plant genomes and their genes..

  • What is the application of bioinformatics in plants?

    In the context of plant breeding, bioinformatics can empower genetic and genomic selection to determine the optimal combination of genotypes that will produce a desired phenotype and help expedite the isolation of these new varieties..

  • What is the role of bioinformatics in plants?

    Bioinformatics in Plant Disease Management
    Along with the use of genetic plant models and the progress in sequencing agriculturally important organisms, the combination of bioinformatics and functional genomics globally enhance agricultural genomics..

  • Why is plant bioinformatics important?

    Bioinformatics has also wide applications in the analysis of plant resistance to various stresses [20].
    The molecular mechanisms underlying plant responses to abiotic stress have been studied in depth, and they can open new avenues in agriculture when combined with the predictive power of bioinformatics [21]..

  • Bioinformatics plays an essential role in today's plant science.
    As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction.
  • Some of the different ways in which bioinformatics tools and methods are used in agriculture, which is collectively referred to as agri-informatics, primarily include the improvement of plant resistance against both biotic and abiotic stressors and enhancement of the nutritional quality in depleted soils.
Multi-omics and computational biology approaches allow understanding the biochemical mechanisms in plant traits.
The integration of multi-omics data and computational biology technologies constructs biological networks to identify traits that can be further applied toward 

Academic journal

in silico Plants (isP) is a peer-reviewed open-access, non-profit scientific journal established in 2019 and publishing on all aspects of computational plant biology.
The editor-in-chief is Stephen P.
Long, environmental plant physiologist, Fellow of the Royal Society and member of the National Academy of Sciences.
The journal is published through Oxford University Press but owned and managed by the Annals of Botany Company, a non-profit educational charity registered with the Charity Commission for England and Wales. in silico Plants is listed in the Directory of Open Access Journals, and indexed in Scopus and the Emerging Sources Citation Index.

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