Biocomplexity
Indiana University biologists have uncovered how a control system works in producing the important light-harvesting antennae that power photosynthesis in cyanobacteria, the microorganisms that are progenitors of all land plants and responsible for nearly half of the Earth's current oxygen production.
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Scientists at Indiana University's Biocomplexity Institute have developed a computational model for the intricate cellular dance that occurs during the earliest stages of animal development when embryonic segments called somites form. Somites eventually give rise to the internal scaffolding of life: For common earthworms that scaffolding is 100 or so body segments; in humans it's a segmented mass of cell layers in the early embryo that leads to the formation of muscles, vertebrae, limbs, ribs and the tailbone.
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Indiana University's Center for Genomics and Bioinformatics and the international biomedical testing company Beckman Coulter announce a new collaboration formed to create automated solutions for genomics applications designed to better pinpoint toxics that pose risks to the environment and human health.
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An interdisciplinary team of researchers led by two Indiana University Bloomington School of Informatics and Computing professors has been recognized with one of the most prestigious privacy technology awards for the team's work in uncovering how the genetic identities of human participants can be uncovered from the results of genome-wide association studies.
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Mutations of DNA that lead to one base being replaced by another don't have to happen as single, independent events in humans and other eukaryotes, a group of Indiana University Bloomington biologists has learned after surveying several creatures' genomes.
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Researchers from around the world searching for the most accurate ways to capture how cells behave -- from adhesion and clustering to growth, division and death -- are at Indiana University Bloomington this summer to perfect their use of two of the most widely accepted tools for simulating cellular interactions.
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