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.

Anthropic touts AI-led biology discovery

U.S. artificial intelligence startup Anthropic on Wednesday unveiled the first discovery from its molecular biology lab, a previously unknown enzyme system spotted by its Claude model and touted by the company as proof that ...

Scaling up the detection of genome-edited rice lines

A new open-access study introduces RiSpy, a data-driven fingerprinting framework that makes the identification of genome-edited (GE) rice lines more robust, scalable and broadly applicable. Researchers from Sciensano, together ...

Decoding the DNA switches behind gene regulation

Understanding gene regulation may be key to interpreting human disease genetics. Genes are regulated in part by stretches of DNA called enhancers, which define when, where and how strongly each gene is turned on. Mapping ...

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