Jyoti Lakhani

Employment

• Maharaja Ganga Singh University Assistant Professor & Head
  2011 - Present
• Maharshi Dayanand Saraswati University Assistant Professor
  2007 - 2011

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Epidemiology of Diarrheagenic Enteroaggregative and Enterotoxigenic Escherichia coli and their Prevalence in Children under Five in Western Rajasthan
  Biosciences Biotechnology Research Asia 2025 DOI: 10.13005/bbra/3447
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• Adaptive laboratory evolution triggers pathogen-dependent broad-spectrum antimicrobial potency in Streptomyces
  Journal of Genetic Engineering and Biotechnology 2022 DOI: 10.1186/s43141-021-00283-3
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• Applications of Machine Learning in Bioprocess Development and Optimization
  Microbial Products 2022 DOI: 10.1201/9781003306931-32
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• Comparative whole-genome analysis of a Thar desert strainStreptomycessp. JB150 provides deep insights into the encoded parvome and adaptations to desert edaphic system
  2021 DOI: 10.1101/2021.01.20.427384
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• Adaptive laboratory evolution triggers pathogen-dependent broad-spectrum antimicrobial potency inStreptomyces
  2021 DOI: 10.1101/2021.01.20.427378
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• Multiple sequence alignment algorithm using adaptive evolutionary clustering
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-15-5421-6_36
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• In silico detection tools to identify fungal secondary metabolites and their biosynthetic gene clusters
  New and Future Developments in Microbial Biotechnology and Bioengineering 2020 DOI: 10.1016/b978-0-12-821008-6.00003-7
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• MPSAGA: a matrix-based pair-wise sequence alignment algorithm for global alignment with position based sequence representation
  Sādhanā 2019 DOI: 10.1007/S12046-019-1141-X
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• Co-cultivation strategies to induce de novo synthesis of novel chemical scaffolds from cryptic secondary metabolite gene clusters
  Fungi and their Role in Sustainable Development: Current Perspective 2018 DOI: 10.1007/978-981-13-0393-7_33
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• In silico methods to predict disease-resistance candidate genes in plants
  In Silico Approach for Sustainable Agriculture 2018 DOI: 10.1007/978-981-13-0347-0_5
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