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PLoS Computational Biology • Vol 20 • No 9
Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments
2024
Human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) have gained traction as a powerful model in cardiac disease and therapeutics research, since iPSCs are self-renewing and can be derived from healthy and diseased patients without invasive s…
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Bioinformatics

Computational analysis of large, complex sets of biological data

Bioinformatics ( ) is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex. Bioinformatics uses biology, chemistry, physics, computer science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The subsequent process of analyzing and interpreting data is referred to as computational biology.

Computational, statistical, and computer programming techniques have been used for computer simulation analyses of biological queries.

Exploring foci of:
PLoS Computational Biology • Vol 20 • No 9
Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments
2024
Human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) have gained traction as a powerful model in cardiac disease and therapeutics research, since iPSCs are self-renewing and can be derived from healthy and diseased patients without invasive surgery. However, current iPSC-CM differentiation methods produce cardiomyocytes with immature, fetal-like electrophysiological phenotypes, and the variety of maturation protocols in the literature results in phenotypic differences between labs. Heterogeneity o…
Click Bioinformatics Vs:
In Silico
Electrophysiology
Computational Biology
Computer Science
Biology
Neuroscience
Artificial Intelligence
Embryonic Stem Cell
Medicine
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Environmental Health