Page 2: 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.

3D map of cell signaling sites could help improve cancer treatment

Cell-communication molecules called kinases play a key role in the growth and spread of many cancers. But exactly which kinases are active in a particular cancer is not always clear—there are 1.8 million sites on human proteins ...

Teaching AI the biology of antibodies speeds drug discovery

Designing an effective antibody drug is like searching for the right key in a warehouse of locks. Scientists may begin with millions—or even billions—of antibody candidates, but only a tiny fraction will recognize and bind ...

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