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Lilit Nersisyan

Lilit Nersisyan, PhD

[email protected]

ABI Director, Junior Group Leader

Dr. Lilit Nersisyan, Ph.D., has 10+ years of experience in computational biology and genomics. She has a biology background, holds an MS in biotechnology and a second MS in Computer Science. Lilit has completed her Ph.D. in the Institute of Molecular Biology NAS Armenia and defended at the University of Leipzig, Germany. Afterward, Lilit has conducted postdoctoral studies in computational biology at the Karolinska Institute in Sweden. In 2021 she became the founding director of the Armenian Bioinformatics Institute. Lilit has also been an adjunct lecturer at the American University of Armenia (AUA). Dr. Nersisyan has been the principal investigator of 3 research grants, an author of 20 peer-reviewed publications, and has won several fellowships in life sciences, including the Marie-Curie Individual Fellowship, the European Molecular Biology Organization (EMBO), the DAAD German Academic Research Service; has twice been nominated among “the most productive scientists of the year” by the Science Committee of Armenia.

Lilit is interested in the development and application of software solutions for genomics research. Her research focus has long been the biology of telomere length regulation, as well as studying signaling pathway alterations in complex human disorders. Currently, she’s also interested in mRNA degradation, and microbiome research.

Research Interests

  • Development and application of software solutions for genomics research
  • Telomere length regulation
  • Signaling pathway alterations in complex human disorders
  • mRNA degradation
  • Microbiome research

Publications

S Huch, L Nersisyan, M Ropat, D Barret, J Wang, J Huerta-Cepas, W Wei, L M Steinmetz, L Engstand, V Pelechano. RNA degradation analysis reveals ribosome dynamics in complex microbiome samples. bioRxiv.  doi: https://doi.org/10.1101/2021.04.08.439066

L Nersisyan, M Ropat, V Pelechano. Improved computational analysis of ribosome dynamics from 5′P degradome data using fivepseqNAR Genomics and Bioinformatics. 2020. Volume 2, Issue 4, doi: https://doi.org/10.1093/nargab/lqaa099

L Nersisyan, M Nikoghosyan, The Genome if the Netherlands consortium & A Arakelyan. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 geneScientific Reports. 2019. Volume 9, Article number: 18758. doi: http://doi.org/10.1038/s41598-019-55109-7

L Nersisyan, L Hopp, H Loeffler-Wirth, J Galle, M Loeffler, A Arakelyan, H Binder. Telomere Length Maintenance and Its Transcriptional Regulation in Lynch Syndrome and Sporadic Colorectal Carcinoma. Frontiers in oncology. 2019. Volume 9. 2019.01172 doi: https://doi.org/10.3389/fonc.2019.01172

L Nersisyan, G Johnson, M Riel-Mehan, A R Pico, A Arakelyan. PSFC: a Pathway Signal Flow Calculator App for CytoscapeF1000Research. 2015. Version 2. 4: 480. 10.12688/f1000research.6706.2 doi: https://doi.org/10.12688/f1000research.6706.2

L Nersisyan, A Arakelyan. Computel: Computation of Mean Telomere Length from Whole-Genome Next-Generation Sequencing DataPLoS one. 2015. Volume 10, 4. 0125201 doi: https://doi.org/10.1371/journal.pone.0125201

L Nersisyan, R Samsonyan, A Arakelyan. CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflowsF1000Research. 2014. Version 2. 3: 145. 4410.2 doi: https://doi.org/10.12688/f1000research.4410.2