Genome-wide bioinformatics and computational systems biology

Related services

By using professional and innovative bioinformatics analysis of various high-throughput profiling experiments, we can turn your data into knowledge. Our bioinformatics services are focused on the analysis of 'omics datasets. We are able to provide our customers with a comprehensive set of services for the omics experiments, starting from the best experimental planning for the experiments, wet lab transcriptomics and proteomics sampling and data generation, followed by data qc, statistical analysis as well as biological pathway and computational systems biology networks analysis.

Bioinformatics data analysis focus areas

We provide our customers with the bioinformatics analysis in the areas, including the following:

Analysis of gene expression data
Analysis of quantitative and qualitative proteomics data
Toxicogenomics data analysis, detection of significant pathways and biological functions to explain toxicity at molecular level
Drug toxicity prediction using classification methods
Integration of chemical structures, gene and protein expression, clinical data and literature data for accurate prediction
Biomarker discovery related bioinformatics

Gene expression data analysis

Our standard gene expression data analysis covers basic microarray data analysis like

Data preprocessing and Quality Control
Differential Expression Analysis
Parametric test: t-test, ANOVA etc
Non-parametric test
Fold Change analysis
Clustering : Clustering of expression data using various algorithms like k-means, SOM, Hierarchical clustering etc
Principal Component Analysis

In addition, following biological pathways and computational systems biology inspired network analysis can be analysed form typical 'omics data

Functional classification and more sensitive biological data analysis, using pathways, like KEGG, BioCarta, GenMAPP and Gene Ontology
Differential expression analysis using linear models (limma), SAM
Biomarker discovery
Sample classification
Gene network analysis
Identification and analysis of the regulatory sub-networks from protein-interaction and related networks
Implementation of algorithms published in scientific journals
Chip annotation
Analysis of genotyping array data

Sequence Analysis

In addition to analysis of the omics profiling platforms' data, we also provide bioinformatics analysis in the following areas

Gene prediction
Comparative genomics and gene prediction/li>
Primer and oligo designing
Promoter prediction
Gene structure prediction
Gene optimization for expression constructs

All our services are tailored to the customers need. Click here for our other discovery informatics services.

More information

Please follow this link to retrieve a fact sheet of our gene expression data analysis services

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