Page 4: 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.

A roadmap for safer, explainable protein-design AI

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including completely new structures never seen before in nature.

A new interface to study RNA biology

Scientists at Université de Montréal's Institute for Research in Immunology and Cancer have developed a new database that integrates the molecular structure of microRNAs and messenger RNAs to systematically model their interactions. ...

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