The Research Informatics Core (RIC), located in the Molecular Biology Research Building at the University of Illinois-Chicago (UIC), provides a broad spectrum of bioinformatics services to the UIC and Chicago-area research communities, including genomics, transcriptomics, epigenomics, metagenomics, metabolomics, and proteomics analysis, as well as applications in statistical analysis, systems biology, and machine learning.
To request a consultation, please fill out a service request form at RRC CrossLabs: go.uic.edu/ric (you will need to sign in).
To inquire about bioinformatics services, please contact us.
To subscribe to our events annoucement email list (RIC_events@uic.edu) please send an email to listserv@uic.edu with the following content. Please set the text "your_firstname" and "your_lastname" to YOUR firstname and lastname.
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The end result of these bioinformatics services is to provide investigators basic information concerning the abundance of taxa present in the samples sequenced using a targeted amplicon, e.g. 16S or ITS. The basic bioinformatic analysis includes basic processing of raw sequence data including read merging, adapter & quality trimming, chimeric checking and processing using DADA2 to generate a table of abundance data and associated taxonomic annotations.
Pipeline generates taxonomic and functional gene annotations for each sequenced read and then generates counts summaries for the annotations.
Contigs are assembled, de novo from the sequence data. The resulting contigs are annotated taxonomically and putative gene features, i.e. open reading frames, are detected and annotated. Quantitative insights (read counts) are generated by aligning the sequence data for each sample to the assembled metagenome and then computing number of reads aligned to the contigs as well as the detected gene features.