Swarna Kanchan

About

Dr. Kanchan's research interests span a broad range of areas, including bioinformatics; next-generation sequencing and multi-omics data analysis; microbiome research and metagenomics; machine learning applications in biology, agriculture and biomedical sciences; COVID-19 genome assembly and lineage identification; wastewater epidemiology; transcriptomics and meta-transcriptomics; cancer bioinformatics; neurological disorders such as Alzheimer's and Parkinson's diseases; peptide and protein modeling and dynamics; protein function prediction; computational drug design; molecular evolution, etc.

Employment

• Marshall University Staff Scientist (Bioinformatics)
  2023 - Present
• Boise State University Postdoc Bioinformatics
  2021 - 2023
• Instytut Biologii Doświadczalnej im. Marcelego Nenckiego Specialist (Bioinformatics)
  2020 - 2021
• Inria Centre de recherche Bordeaux Sud-Ouest Postdoctoral Fellow (Bioinformatics)
  2018 - 2019
• Presidency University Assistant Professor
  2016 - 2017
• Amity University Research Associate
  2007 - 2007

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (60)

• Metagenomics: Concepts and scope
  Genome Analysis 2026 DOI: 10.1016/b978-0-443-21980-1.00004-8
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• Advances in transcriptomics data analysis
  Genome Analysis 2026 DOI: 10.1016/b978-0-443-21980-1.00020-6
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• Multi-Omics Applications in Environmental Sustainability
  Multi-Omics in Biomedical Sciences and Environmental Sustainability 2025 DOI: 10.1007/978-981-96-7067-3_14
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• Translational Omics: Precision and All “Coming of Age”
  Multi-Omics in Biomedical Sciences and Environmental Sustainability 2025 DOI: 10.1007/978-981-96-7067-3_1
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• Single-cell technology for improvement in significant crops
  Guide to Plant Single-Cell Technology 2025 DOI: 10.1016/b978-0-443-23736-2.00012-5
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• Proteomics and Bioinformatics Approaches for Exploring Resilience Strategies in Cyanobacteria
  Multi-Omics in Biomedical Sciences and Environmental Sustainability 2025 DOI: 10.1007/978-981-96-7067-3_17
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• Multiresolution Insights into Single-Cell Landscapes: Integrating Genomics, Epigenomics, and Proteomics for Brain Studies
  Multi-Omics in Biomedical Sciences and Environmental Sustainability 2025 DOI: 10.1007/978-981-96-7067-3_4
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• Multi-Omics in Biomedical Sciences and Environmental Sustainability
  Springer Nature Singapore 2025 DOI: 10.1007/978-981-96-7067-3
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• Microbiome Dynamics in Colorectal Cancer: Implications for Personalized Treatment and Multi-Omics Analysis
  Multi-Omics in Biomedical Sciences and Environmental Sustainability 2025 DOI: 10.1007/978-981-96-7067-3_11
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• Machine Learning Approaches for the Diagnosis of Pre- and Post-COVID-19 Phases
  Multi-Omics in Biomedical Sciences and Environmental Sustainability 2025 DOI: 10.1007/978-981-96-7067-3_6
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