DKP Genomics
DKP Genomics is a bioinformatics services company that offers customized bioinformatics support from experimental design to the biological interpretation of omic data, especially NGS and microarray gene expression data. The company also offers infrastructure installation and support services for bioinformatics applications, as well as software development.
Industries
Nr. of Employees
small (1-50)
DKP Genomics
East Lyme, Connecticut, United States, North America
Products
Experimental Design Consulting
Guidance on selecting appropriate experimental technologies and designs to address specific scientific questions in biotech and pharma.
Computational Analysis
Comprehensive bioinformatics analyses including sequence analysis, expression profiling, gene set enrichment, pathway analysis, and meta-genomics.
Target Ranking Based on Gene Response
A method to rank genes by their response across multiple data types, tolerant of missing data, to identify key targets for further analysis.
Biomarker Identification
Identification of measurable markers causally associated with targets using de novo pathway development and causal inferencing.
Deep Biological Interpretation
Analysis to understand cellular processes, pathways, and gene involvement affected in experimental data.
Bioinformatics Infrastructure Development and Support
Development and maintenance of bioinformatics software environments and databases to manage tools and datasets.
Experimental Design Consulting
Guidance on selecting appropriate experimental technologies and designs to address specific scientific questions in biotech and pharma.
Computational Analysis
Comprehensive bioinformatics analyses including sequence analysis, expression profiling, gene set enrichment, pathway analysis, and meta-genomics.
Target Ranking Based on Gene Response
A method to rank genes by their response across multiple data types, tolerant of missing data, to identify key targets for further analysis.
Biomarker Identification
Identification of measurable markers causally associated with targets using de novo pathway development and causal inferencing.
Deep Biological Interpretation
Analysis to understand cellular processes, pathways, and gene involvement affected in experimental data.
Bioinformatics Infrastructure Development and Support
Development and maintenance of bioinformatics software environments and databases to manage tools and datasets.