Research from our Life Sciences team
There is one paper published by Sequoia. The rest were published elsewhere by members of our team. They cover cancer genomics, population genetics, viral sequencing, genome assembly and machine learning.
The papers below were published by members of our team outside Sequoia. They are here to show the scientific work people on the team have done. They are not Sequoia publications.
Research areas in the publications
The work
Gene expression in cancer
Several of these papers deal with gene expression in lung, oral and neuroblastoma cancers, including work on master regulators and miRNAs.
- Identification of lung cancer master genes triggered by smoking and their key pathways based on gene expression profilingS. S. Ariya, R. J. Akhila, J. BabyGENE REPORTS 21, 100812, 2020
- Comprehensive gene expression analysis and identification of STAT-1 as master regulator in oral squamous cell carcinomaS. S. Ariya, R. J. Akhila, J. BabyINTERNATIONAL JOURNAL OF PSYCHOSOCIAL REHABILITATION 24, 399-417, 2020
- Role of KIF2C and TEK as master regulators in lung cancer: insights from NGS dataS. S. Ariya, P. VijayababuIN SILICO PHARMACOLOGY
- HES1 promoter activation dynamics reveal the plasticity, stemness and heterogeneity in neuroblastoma cancer stem cellsP. A. Riya, B. Basu, S. Surya, and others including R. SukumaranJOURNAL OF CELL SCIENCE 135(22), 2022
Population genetics and statistical analysis
The publications here include population genetics of stroke and its comorbidities, structural equation models and monogenic diabetes.
- Ethnic and region specific genetic risk variants of stroke and its comorbid conditions can define the variations in the burden of stroke and its phenotypic traitsR. Sukumaran, A. S. Nair, M. BanerjeeELIFE 13:RP94088, 2024
- Shared genetic architecture of stroke and its comorbid conditions reveals latent phenotypes that differ among populationsR. Sukumaran, A. S. Nair, M. BanerjeeMEDRXIV PREPRINT, 2025 DOI
- Monogenic diabetes: genetic insight and precision therapeutics in the management of MODYG. Venkatesan, K. V. Kumari, S. S. Ariya, P. VijayababuEXON 2(1), 16-24, 2025
Genome assembly and analysis
The genome assembly work includes chromosome scale assembly, repeat finding in whole genomes and NGS reads, and large mutagenesis screens.
- Chromosome scale genome assembly and annotation of coconut cultivar Chowghat Green DwarfM. K. Rajesh, R. Budhwar, R. Shukla, and others including A. DineshSCIENTIFIC REPORTS 14, 28778, 2024 DOI
- RFGR: repeat finder for complete and assembled whole genomes and NGS readsR. Sukumaran, K. Shahina, A. S. NairBIOCHEMICAL GENETICS, 2024 DOI
- A multifunctional mutagenesis screen for analysis of gene function in zebrafishH. N. B. Quach, S. Tao, A. Joshi, and others including R. SukumaranG3: GENES, GENOMES, GENETICS 5(6), 1283-99, 2015
Machine learning for molecular properties
One paper looks at interpretable machine learning for molecular solubility prediction.
- Deciphering molecular and solvent effects on aqueous and organic solubility through interpretable machine learning approachesB. Gopichand, Gopika S. Nair, B. G. Nair, N. MelethadathilACS OMEGA 11(20), 29757-29771, 2026 DOI
Patents and books
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