The Collaborative Bioinformatics Research Lab conducts Bioinformatics research for scientific and clinical studies to improve the current understanding of human health and disease. These efforts will help reveal new targets for the development of theranostic applications. The Collaborative Bioinformatics Research Lab has the capability for experimental design, data analyses, workflow research and development and consultations.
Grant Proposal Assistance
The Collaborative Bioinformatics Research Lab can assist with experimental design, budget planning (for the necessary IT equipment, software licenses and effort from Bioinformatics personnel), Bioinformatics method protocol writeup and letters of support. The Collaborative Bioinformatics Research Lab members can be project participants (Co-principal investigator, Co-investigator, Collaborator) providing an additional level of expertise to a research proposal. A comprehensive plan and suitable expertise for data analyses, data management and visualizations can enhance and strengthen grant proposals submitted to the NIH and other grant awarding bodies.
The Collaborative Bioinformatics Research Lab can offer consultation on a range of Bioinformatics topics, from experimental design to data analyses for your grant funded projects. The quality of the resulting data depends on the proper planning of the experiments and taking steps to minimize the influence of confounding factors. It is best to engage in experimental design consultations before the experiments are performed to ensure experiments and sequencing of data yield results of scientific value.
Data Analyses and Workflow Development
The Collaborative Bioinformatics Research Lab capability includes the following areas: analyzing data generated from next-generation sequencing (NGS) for RNA-Seq, small RNA-Seq, single-cell RNA-Seq, RIBO-Seq, NET-Seq, Exome-Seq, targeted re-sequencing, Genome-Seq, ChIP-seq, ATAC-seq. NGS analyses include pre-alignment QC, alignments, post-alignment QC, quantification and function enrichment and results interpretation. Capabilities include data integration and data mining of public data resources, custom analysis, workflow development, software procurement and automation of process. Activities include UAB Bioinformatics community outreach and partnering with research collaborators.
The Collaborative Bioinformatics Research Lab can develop Bioinformatics training for unique needs; and such workshops can be customized to match specific requirements. If there are specific requirements; please contact us.
If you want to carry out your own Bioinformatics analyses and you have questions along the way, the Collaborative Bioinformatics Research Lab can help troubleshoot as needed.