CD ComputaBio, a reliable computational biology service provider located in New York, is always hammering away at new research and trials in order to provide customers with access to the latest software, technologies, and expertise at a competitive price and with a fast turnaround time. With years of experience in bioinformatics, CD ComputaBio launches its new high-quality GO enrichment analysis service. Gene Ontology (GO) is widely used in the field of bioinformatics. In 1998, a group of researchers working on three models of genomes (Drosophila, mouse, and yeast) came together to organize a professional group named the Gene Ontology Consortium. Gene Ontology was originally created to provide a working platform for the standardization of terminological descriptions and lexical interpretations of gene and gene product properties in a representative manner. It now contains dozens of animal, plant, and microbial databases. One of the main applications of GO is to perform enrichment analysis on gene or protein sets. For example, if a set of proteins are up-regulated under certain conditions, enrichment analysis will reveal which GO terms are over-represented (or under-represented) by the annotation of that proteome. GO enrichment analysis has proven useful for exploring functional and biological significance from large data sets such as mass spectrometry data and microarray results. GO enrichment analysis is also useful for organizing data from new (or fully annotated) genomes and for comparing biological functions between and among members of evolutionary branches. GO enrichment analysis is to classify differential genes and so on. According to GO, the technology carries out significance analysis, error rate analysis, and enrichment analysis based on the discrete distribution of the classification results, then obtains the targeted gene function classifications that are related to the experimental purpose. This target classification is the most important functional derivation that leads to differences in sample traits. “We provide different types of gene function annotation analysis services. For GO enrichment analysis, in addition to the histogram display, we also use bubble charts or other cutting-edge displaying methods. The high-quality GO enrichment analysis plot drawing service we provide allows you to quickly obtain comprehensible plots thus meeting your publication needs. Various analysis tools or software packages such as DAVID, GOplot, goseq and ggplot2 can be used for GO enrichment analysis,” commented the senior scientist of CD ComputaBio. “In addition, we can also customize personalized GO enrichment analysis according to your needs (including specific analysis software or chart requirements). This input data can be transcriptome data, microbiome data, methylation data, ChIP-seq data, resequencing data, various microarray data, etc. We provide researchers with one-stop, mature, cost-effective and fast turnaround analysis services to help mine the function of differentially expressed genes in different samples,” he further added. About CD ComputaBio With years of experience, CD ComputaBio provides customers with professional computational biology services. Utilizing rich experience and powerful technology in computational science, the company offers customers various computational biology analysis services such as molecular dynamics simulation, drug design, virtual screening, quantum chemical calculations, etc.
Written by CD ComputaBio
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