Omics is a Greek suffix referring to the total study of a single biological molecule.
Genomics refers to the study of the DNA sequence. It involves problems in identifying the sequence of the DNA, assembling short DNA reads into a long target sequence, identifying variations short and long in the genome, finding motifs, among other problems.
Transcriptomics involves measurement of the expressed RNA molecules and often probed using microarrays (e.g., Affymetrix) or next-gen sequencing (e.g., RNA-seq).
Epigenomics means "beyond" genomics and deals with changes in the DNA that are not observed in its sequence content. Most popular is the methylation patterns on the genome that lead to significant functional alterations.
Proteomics, Metabolomics, and Lipidomics refer to the assessment of the abundance of the proteins, metabolites, and lipids in a biological sample, respectively. Currently this is achieved commonly with mass-spectrometry-based methods but other array- and sequencing-based approaches also exist.
Meta-omics imply the study of the corresponding omics in a microbial community. For example, the most common form of meta-omics, which is metagenomics, deal with identifying the content of a microbial community through sequencing the DNA of its members.
Multi-omics involve analysis of different omic types in a unified approach.
Our team has expertise in analysis of single-omics, meta-omics, and multi-omics data sets acquired through a variety of sources such as microarrays, sequencing machines, and mass-spectrometers.
We are experienced in performing data quality control, normalization, batch correction, differential expression, clustering, classification, prediction, and functional analysis for high throughput biological data representing different omic settings.
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