Page 5: 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.

CORNETO: Machine learning to decode complex omics data

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data. Details have been published ...

Study analyzes 400 million years of enzyme evolution

Enzymes catalyze chemical reactions in organisms—without which life would not be possible. Leveraging AlphaFold2 artificial intelligence, researchers at Charité—Universitätsmedizin Berlin have now succeeded in analyzing ...

Cracking single-cell complexity with collective intelligence

Researchers from more than 50 international institutions have launched Open Problems, a collaborative open-source platform to benchmark, improve, and run competitions for computational methods in single-cell genomics.

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