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Welcome to National Bureau of Agriculturally Important Microorganisms -

Dr. Deepak Singla

Name: Dr. Deepak Singla

Designation: Senior Scientist (Bioinformatics)
ICAR-NBAIM

Professional experience:

  • 11 Years

Research interest:

  • Analysis of High throughput genomics, transcriptomics, and metagenome data
  • Development of Machine learning, databases and software development
  • Integrative Omics approach for mining gene of agricultural importance.

Google Scholar Link: https://scholar.google.com/citations user=b80ifssAAAAJ&hl=en

Contact details:

Office Address: Molecular Biology Laboratory, ICAR-NBAIM, MAU

E-mail: deepak.singla83@icar.org.in

 

Significant recognition (Awards/Fellowships/Technologies transferred/Patents etc.):

  1. Awards
    1. CSIR-International Travel Award, NGBT Travel Award
  1. Fellowships:
    1. CSIR-SRF, DST-NPDF (Not Availed)

 

  1. Ongoing projects:

Title of project

Funding Agency

Role in Project

Current status of the project

Computational approaches to decipher the core microbiome of wheat rhizosphere associated with nutrient cycling and disease suppression from the Indo-Gangetic Plains (IGP) in India.

ICAR

Co-PI

2025-Till Date

Indian soil microbiome project: wealth for national prosperity and posterity

ICAR

Co-PI

2025-Till Date

  1. Completed projects:

Title of project

Funding Agency

Role in Project

Current status of the project

Mitochondrial genome assembly, analysis and development of molecular markers for cytoplasmic male sterility (CMS) gene in tropical onion

DST-SERB

PI

2019-2021

 

  1. Publications (no.s):

S. No.

Type of publication

No.s

1

Research/Review Articles:

44

2

National:

0

3

International:

44

4

Book Chapters:

03

5

Books:

0

5

Popular Articles:

0

6

Bulletin:

0

7

Training Manual:

01

8

Others:

0

 

List of publications (Best 10 publications) with NAAS Rating and Impact Factor:

  1. Sharma S., Bishnoi R., Jain R., Singla D* (2025): LSDVvac: An immunoinformatics database for vaccine design against lumpy skin disease virus. Comput. Biol. Med.190:110077. *Corresponding author (NAAS Rating:10.3, IF: 6.3)
  2. Kumar P., Bishnoi R.,Priyadarshini P., Chhuneja P., Singla D* (2025): Understanding the structural basis of ALS mutations associated with resistance to sulfonylurea in wheat. Sci. Rep. 15(1):12855. *Corresponding author (NAAS Rating: 9.80, IF: 3.9)
  3. Ramesh GV., Kaur J.,Singla D., Chhuneja P., Saharan A., Gangwar OP., Bala R., Mir RR., and Tak PS (2025): Use of Field pathogenomics approach for Puccinia striiformis f. sp. tritici race identification and phylogenomic delineation in North India.  World J. Microbiol. Biotechnol., 41:10.1007/s11274-025-04391-x. (NAAS Rating: 10.00, IF: 4.2)
  4. Patel E., Kumar P.,Priyadarshini P., Singla D*., Sandhu JS* (2024): Molecular docking and dynamic simulation studies of isoflavones inhibiting Lox-2 activity for reducing beany flavor in soybean seeds. J. Biomol. Struct. Dyn.42 (23) 13334-13343. *Corresponding author (NAAS Rating: 8.70, IF:2.4)
  5. Kaur S., Bishnoi R.,Priyadarshini P., Singla D*., and Chhuneja P (2023): DSP: database of disease susceptibility genes in plants. Funct. Integr. Genomics23(3) 10.1007/s10142-023-01132-x. *Corresponding author (NAAS Rating: 9.90, IF: 3.1)
  6. Singla D*., Yadav IS (2022): GAAP: A GUI-based Genome Assembly and Annotation Package. Curr. Genomics 23(2) 77-82. *Corresponding author (NAAS Rating:7.80, IF: 1.4)
  7. Yadav AK., Singla D.,* (2020): VacPred: SequenceBased Prediction of Plant Vacuole Proteins using Machine-learning Techniques. J. Biosci. 45 1-9. *Corresponding author (NAAS Rating: 8.10, IF: 1.9)
  8. Fourati S et al.(2018): A crowd sourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection. Nat. Comm.9 10.1038/s41467-018-06735-8.(NAAS Rating: 20.0, IF: 15.7)
  9. Iquebal MA., Soren KR., Gangwar P., Shanmugavadevel PS., Kumar A., Singla D., JaiswalS.,Chaturvedi SK., Singh NP., Varshney RK., Rai A., Kumar D (2017): Discovery of putative herbicide resistance genes and its regulatory network in chickpea using transcriptome sequencing. Front. Plant Sci.810.3389/fpls.2017.00958 (NAAS Rating:10.10, IF: 4.8)
  10. Iquebal MA., TomarRS., Parakhia MV., Singla D., Jaiswal S., Rathod VM., Padiyar SR,Kumar N., Rai A., Kumar D (2017): Draft whole genome sequence of groundnut stem rot fungus Athelia rolfsii revealing genetic architect of its pathogenicity and virulence. Sci Rep.7 10.1038/s41598-017-05478-8.(NAAS Rating: 9.80, IF: 3.9)