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.

C-Compass: AI-based software maps proteins and lipids within cells

A new tool developed by Helmholtz Munich and the German Center for Diabetes Research and the University of Bonn makes spatial proteomics and lipidomics easier to use—no coding required. C-COMPASS allows scientists to profile ...

VIRE: A global data platform to better understand viruses

Researchers have developed VIRE, a database that integrates approximately 1.7 million viral genomes derived from more than 100,000 metagenomes worldwide. Metagenomic data is obtained by comprehensively sequencing all DNA ...

A framework for the discovery of cell state-correcting medicines

Cellarity, a biotechnology company developing cell state-correcting therapies through integrated multi-omics and AI modeling, reports the publication of a manuscript in the journal Science, which articulates a framework for ...

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