Sai Sruthi Amirtha Ganesh

ORCID: 0000-0003-4718-9974
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About
Contact & Profiles
Research Areas
  • Genomics and Phylogenetic Studies
  • Gene expression and cancer classification
  • Cancer Genomics and Diagnostics
  • Computational Fluid Dynamics and Aerodynamics
  • Advanced Numerical Methods in Computational Mathematics
  • Electromagnetic Simulation and Numerical Methods
  • Computational Drug Discovery Methods
  • Biological Research and Disease Studies
  • Alzheimer's disease research and treatments
  • Systemic Sclerosis and Related Diseases
  • Bioinformatics and Genomic Networks
  • Cancer Research and Treatment

Sage Bionetworks
2024

Robert Bosch (India)
2021-2022

Indian Institute of Technology Madras
2012-2022

Pennsylvania State University
2022

Abstract INTRODUCTION Alzheimer's disease (AD) is the predominant dementia globally, with heterogeneous presentation and penetrance of clinical symptoms, variable presence mixed pathologies, potential subtypes, numerous associated endophenotypes. Beyond difficulty designing treatments that address core pathological characteristics disease, therapeutic development challenged by uncertainty which endophenotypic areas specific targets implicated those endophenotypes to prioritize for further...

10.1002/trc2.12461 article EN cc-by-nc Alzheimer s & Dementia Translational Research & Clinical Interventions 2024-04-01

Despite the tremendous increase in omics data generated by modern sequencing technologies, their analysis can be tricky and often requires substantial expertise bioinformatics. To address this concern, we have developed a user-friendly pipeline to analyze (cancer) genomic that takes raw (FASTQ format) as input outputs insightful statistics. Our iCOMIC toolkit featuring many independent workflows is embedded popular Snakemake workflow management system. It whole-genome transcriptome...

10.1093/nargab/lqac053 article EN cc-by-nc NAR Genomics and Bioinformatics 2022-07-09

Abstract Despite the tremendous increase in omics data generated by modern sequencing technologies, their analysis can be tricky and often requires substantial expertise bioinformatics. To address this concern, we have developed a user-friendly pipeline to analyze (cancer) genomic that takes raw (FASTQ format) as input outputs insightful statistics on nature of data. Our iCOMIC toolkit whole-genome transcriptome is embedded popular Snakemake workflow management system. characterized GUI...

10.1101/2021.09.18.460896 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2021-09-20
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