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  2. Biological data visualization - Wikipedia

    en.wikipedia.org/wiki/Biological_data_visualization

    They have remarkable mechanical, electrical, and thermal properties and are used in various applications from materials science to nanotechnology. Visualization of nanotubes typically requires TEM, SEM, or AFM. Nanofibers. Nanofibers are fibers with diameters in the nanometer scale. They are created through processes like electrospinning and ...

  3. Bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Bioinformatics

    Bioinformatics uses biology, chemistry, physics, computer science, data science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The process of analyzing and interpreting data can sometimes be referred to as computational biology , however this distinction between the two terms ...

  4. Biological data - Wikipedia

    en.wikipedia.org/wiki/Biological_data

    In the past few decades, leaps in genomic research have led to massive amounts of biological data. As a result, bioinformatics was created as the convergence of genomics, biotechnology, and information technology, while concentrating on biological data. Biological data has also been difficult to define, as bioinformatics is a wide-encompassing ...

  5. Modelling biological systems - Wikipedia

    en.wikipedia.org/wiki/Modelling_biological_systems

    Modelling biological systems is a significant task of systems biology and mathematical biology. [a] Computational systems biology [b] [1] aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems.

  6. Biological database - Wikipedia

    en.wikipedia.org/wiki/Biological_database

    Relational database concepts of computer science and Information retrieval concepts of digital libraries are important for understanding biological databases. Biological database design, development, and long-term management is a core area of the discipline of bioinformatics. [3]

  7. Computational genomics - Wikipedia

    en.wikipedia.org/wiki/Computational_genomics

    Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, [1] including both DNA and RNA sequence as well as other "post-genomic" data (i.e., experimental data obtained with technologies that require the genome sequence, such as genomic DNA microarrays).

  8. Biological computing - Wikipedia

    en.wikipedia.org/wiki/Biological_computing

    The development of biocomputers has been made possible by the expanding new science of nanobiotechnology. The term nanobiotechnology can be defined in multiple ways; in a more general sense, nanobiotechnology can be defined as any type of technology that uses both nano-scale materials (i.e. materials having characteristic dimensions of 1-100 ...

  9. Bioimage informatics - Wikipedia

    en.wikipedia.org/wiki/Bioimage_informatics

    Bioimage informatics is a subfield of bioinformatics and computational biology. [1] It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput. The goal is to obtain useful knowledge out of complicated and heterogeneous image and related metadata.