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.

A new way to see the hidden complexity of our genes

Scientists from James Cook University have developed a new computer tool that reveals layers of gene activity that were previously invisible, opening fresh possibilities for understanding health and disease.

New tool automates cell identification in complex datasets

Analyzing single-cell RNA sequencing (scRNA-seq) data is crucial for understanding complex biological processes and disease development, but identifying individual cell types within these vast datasets has been a significant ...

Equipping artificial intelligence with the lens of evolution

Artificial intelligence is now better than humans at identifying many patterns, but evolutionary relationships have always been difficult for the technology to decipher. A team from the Bioinformatics Department at Ruhr University ...

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