Next-Generation Gene Database · Genelibs
Genelibs builds a next-generation online lab for biological data — from collection to interpretation.
Genelibs — A Next-Generation Online Lab
We believe computing and IT will unlock the biological insights hidden in vast, complex data. Genelibs focuses on genomics — extracting structural and functional information from nucleic acid sequences.
Our research and services span three areas:
Data Analysis & Interpretation
Data matters as much in analysis as in sharing. We aggregate major databases into one platform, giving users a single source for the latest, most comprehensive data — ensuring cutting-edge results across the entire pipeline.
Building Better Data Tools
No platform is ever finished. With a craftsman's dedication, we continuously refine our tools — moving forward in the data-driven era.
Novel Algorithms & Statistical Methods
By developing new algorithms and upgrading classical ones, we find optimal solutions computationally — quickly and accurately identifying pathways and key genes.
Genomics, Closer Than Ever
Genomics studies the structure and function of entire genomes — from gene mapping to sequencing to functional analysis. It provides the foundation for tackling major challenges in biology, medicine, and industry.
Since the Human Genome Project, we've entered the post-genome era. The field has shifted from structural genomics to functional genomics — moving from single genes to large-scale analysis of gene functions and regulatory mechanisms. Functional genomics is one of the hottest frontiers of 21st-century research.
Genomics enables new approaches to disease diagnosis and treatment — for example, assessing individual breast cancer recurrence risk and chemotherapy response to guide personalized medicine.
Key tools and methods include: bioinformatics, genetic analysis, gene expression measurement, and gene function identification.
Functional Genomics Informatics
Functional genomics informatics analyzes genes and their products across entire genomes — exploring spatiotemporal expression differences, discovering gene functions, and detecting mutations. Despite HGP progress, 90% of human gene functions remain unknown. Current techniques include expression analysis systems, next-gen sequencing, and microarrays, combined with clustering, pattern recognition, and network analysis methods.
In the post-genome era, bioinformatics has shifted from sequence comparison and coding-region analysis to systems-level research — genome structure, metabolic networks, expression profiles, proteomics, protein structure, and drug-target screening. It is defined by high-throughput, large-scale experimental and computational approaches.
What Can Genelibs Do for You
- Analyze sequencing data and identify key genes from the results.
- Mine databases online — get preliminary gene expression reports and publish without wet-lab experiments.
- Predict disease-associated genes, their targets, and related transcription factors.
- Support your publications with bioinformatics evidence — mine literature for connections between specific genes and known disease genes.
- Support grant applications with bioinformatics preliminary data.
- Experimental guidance: bioinformatics exploration, wet-lab follow-up, platform and sample-size selection, and extending preliminary findings.
Genelibs Database Highlights
Knowledge sets the starting point; insight drives breakthroughs. Welcome to a new-generation biomedical database.
Database Tools
Aggregate major databases into one local platform for cloud-based analysis.
Data Processing
Advanced filtering algorithms ensure the most reliable data sources.
Algorithm Design
Cutting-edge analysis pipelines that maximize data insight.
Research Platform
Engaged with frontline projects, fostering an open database ecosystem.
Featured Projects
Post-NGS Genome Analysis
Differential & Co-expression Gene Analysis
Pathway Algorithm Selection
Analysis Examples
Disease Pathway Analysis
Drug Prediction Analysis
Attractor Pathway
Gene Differential Analysis
Correlation Analysis
Our Words
