We develop novel bioinformatics algorithms and software tools and apply those to a diverse range of genomics problems: from microbiomes to telomeres.
We development bioinformatics techniques aimed at exploring the temporal response dynamics of microbiome communities to environmental perturbations and treatments. We seek to understand the mechanisms through which the direct effects of perturbations propagate via microbial interactions, leading to changes in microbiome composition over time.
Through application of these techniques we study antibiotic resistance in complex microbial communities, the impact of pesticides on bee gut microbiome and host-microbiome interactions in inflammatory bowel disease.
Related work
Huch S, Nersisyan L, Ropat M, Barrett D, Wu M, Wang J, et al. Atlas of mRNA translation and decay for bacteria. Nature Microbiology 2023 8:6. 2023;8:1123–36.
Our team aims to discover novel blood biomarkers for non-invasive early cancer diagnostics and treatment monitoring. We focus on telomeres, which are associated with cancer development. Intriguingly, small amounts of telomeric sequences also reside within circulating cell-free DNA fragments in the blood plasma. We develop bioinformatics tools to analyze telomeric sequences in publicly available sequencing datasets and compare healthy individuals with those affected by cancer and other disorders.
Related work
Nersisyan L, Arakelyan A. Computel: Computation of Mean Telomere Length from Whole-Genome Next-Generation Sequencing Data. PLoS ONE. 2015;10;4:e0125201.
Nersisyan L, et al. Telomere Length Maintenance and Its Transcriptional Regulation in Lynch Syndrome and Sporadic Colorectal Carcinoma. Front Oncol. 2019;9:1172.
Nersisyan L, et al. Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences. Front Genet. 2021;12:662464.
Huch S, Nersisyan L, Ropat M, Barrett D, Wu M, Wang J, et al. Atlas of mRNA translation and decay for bacteria. Nature Microbiology 2023 8:6. 2023;8:1123–36.
Nersisyan L, et al. Telomere Length Maintenance and Its Transcriptional Regulation in Lynch Syndrome and Sporadic Colorectal Carcinoma. Front Oncol. 2019;9:1172.
Nersisyan L, et al. Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences. Front Genet. 2021;12:662464.
Nersisyan L, Arakelyan A. Computel: Computation of Mean Telomere Length from Whole-Genome Next-Generation Sequencing Data. PLoS ONE 2015 10;4:e0125201.
To inquire about roles, contact lilit.nersisyan@abi.am
