Page 3: Research news on Bioinformatics

Bioinformatics is a computational and analytical technique that applies algorithms, statistical methods, and database technologies to the acquisition, storage, processing, and interpretation of biological data, particularly large-scale omics datasets such as genomes, transcriptomes, and proteomes. It encompasses sequence alignment, gene prediction, variant calling, structural modeling, functional annotation, and systems-level network analysis. Bioinformatics pipelines integrate heterogeneous data types, automate quality control, and support reproducible research through workflow management and version-controlled code. As a technique, it enables hypothesis generation, biomarker discovery, and rational design in fields including molecular biology, genomics, pharmacology, and systems biology by transforming raw high-throughput experimental outputs into interpretable, quantitative biological insight.

CRISPR safety check evaluates intended and unintended mutations

A team of researchers led by Professor Akitsu Hotta (Department of Clinical Application) developed a comprehensive framework that combines computational prediction, experimental validation and whole-genome analysis to evaluate ...

Bringing ancient light-sensing proteins back to life

Resurrecting dinosaurs using DNA retrieved from a mosquito trapped in amber is a great movie plot, though it's less likely to happen in the real world. However, researchers have been trying to unlock the secrets behind the ...

AI decodes plant DNA 'switches' to better predict gene control

An international research team led by Forschungszentrum Jülich and the IPK Leibniz Institute has developed an artificial intelligence model that predicts where regulatory proteins dock onto plant DNA to switch genes on and ...

New tool to help build more reliable DNA nanostructures

Scaffolded DNA and RNA origami is a technique that allows scientists to build tiny, highly precise two- and three-dimensional objects. Because these nanostructures can interact naturally with biological systems, they could ...

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