Asha A. Nair Ph.D.

Informatics Specialist –II at Mayo Clinic, Rochester

I graduated with a PhD in the field of Bioinformatics and Computational Biology (BICB) from the University of Minnesota in May, 2018. I work at the Department of Health Sciences Research at Mayo Clinic in the field of bioinformatics. As a bioinformatician, I have developed expertise in a variety of analysis techniques pertaining to DNA, RNA and epigenetic sequence data analysis. Over time, I have developed special interest and proficiency towards RNA or transcriptome data analysis – both protein-coding RNA and non-coding RNA as well as their interactions in diseases such as cancer. An exciting area that my research is focused on is the concept of competing endogenous RNAs, where mRNAs and other non-coding RNAs such as circular RNAs and long non-coding RNAs compete with each other for microRNA binding to cause an impact on the expression of target genes.


1. Gastroblastoma harbors a re"nav nav-list" somatic MALAT1-GLI1 fusion gene.

2. UClncR: Ultrafast and comprehensive long non-coding RNA detection from RNA-seq.

3. The Role of the Histone Methyltransferase Enhancer of Zeste Homolog 2 (EZH2) in the Pathobiological Mechanisms Underlying Inflammatory Bowel Disease (IBD).

4. Circular RNAs and their associations with breast cancer subtypes.

5. Impact of RNA degradation on fusion detection by RNA-seq.

6. BBBomics-Human Blood Brain Barrier Transcriptomics Hub.

7. Retinoblastoma Binding Protein 4 Modulates Temozolomide Sensitivity in Glioblastoma by Regulating DNA Repair Proteins.

8. A cell cycle-dependent BRCA1-UHRF1 cascade regulates DNA double-strand break repair pathway choice.

9. Inhibition of the Aurora A kinase augments the anti-tumor efficacy of oncolytic measles virotherapy.

10. Comprehensively evaluating cis-regulatory variation in the human prostate transcriptome by using gene-level allele-specific expression.

11. Nonbiased Molecular Screening Identifies Novel Molecular Regulators of Fibrogenic and Proliferative Signaling in Myxomatous Mitral Valve Disease.

12. Network-based analysis reveals distinct association patterns in a semantic MEDLINE-based drug-disease-gene network.

13. MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing.

14. High-resolution molecular validation of self-renewal and spontaneous differentiation in clinical-grade adipose-tissue derived human mesenchymal stem cells.

15. RNA sequencing shows transcriptomic changes in rectosigmoid mucosa in patients with irritable bowel syndrome-diarrhea: a pilot case-control study.

16. Integrated genomic characterization reveals novel, therapeutically relevant drug targets in FGFR and EGFR pathways in sporadic intrahepatic cholangiocarcinoma.

17. Novel late-onset Alzheimer disease loci variants associate with brain gene expression.

18. Brain expression genome-wide association study (eGWAS) identifies human disease-associated variants.

19. Glutathione S-transferase omega genes in Alzheimer and Parkinson disease risk, age-at-diagnosis and brain gene expression: an association study with mechanistic implications.

20. Homozygosity mapping and exome sequencing reveal GATAD1 mutation in autosomal recessive dilated cardiomyopathy.

21. The ability of biomarkers to predict systemic progression in men with high-risk prostate cancer treated surgically is dependent on ERG status.

22. Rapid and simple method for the most-probable-number estimation of arsenic-reducing bacteria.