The lab’s central interest is the development of algorithms and software solutions for genomics research. The team is currently focused on
- microbiome research,
- mRNA degradome analysis,
- genetic engineering applications.
Team
Relevant 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. medRxiv. 2021.04.08.439066.
L Nersisyan, M Ropat, V Pelechano. Improved computational analysis of ribosome dynamics from 5′P degradome data using fivepseq. NAR Genomics and Bioinformatics. 2020. Volume 2, Issue 4, 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 gene. Scientific Reports. 2019. Volume 9, Article number: 18758.
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.
L Nersisyan, G Johnson, M Riel-Mehan, A R Pico, A Arakelyan. PSFC: a Pathway Signal Flow Calculator App for Cytoscape. F1000Research. 2015. Version 2. 4: 480.
L Nersisyan, A Arakelyan. Computel: Computation of Mean Telomere Length from Whole-Genome Next-Generation Sequencing Data. PLoS one. 2015. Volume 10, 4.
L Nersisyan, R Samsonyan, A Arakelyan. CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows. F1000Research. 2014. Version 2. 3: 145.
Funding
Ongoing Projects
Modeling the effects of cigarette and e-cigarette smoke on oral and gut microbiome
Faculty research grant from EIF and PMI Science
PI: Lilit Nersisyan
Year: 2022
Open Positions
Open positions up to internships. For more information email the lab supervisor Dr. Lilit Nersisyan.