Deepti Varshney

Deepti Varshney
Adam Mickiewicz University | UAM · Department of Computational Biology

M.Tech (Bioinformatics)

About

10
Publications
3,110
Reads
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119
Citations
Additional affiliations
August 2017 - present
June 2017 - August 2017
The Energy and Resources Institute
Position
  • Fellow
June 2015 - June 2017
The Energy and Resources Institute
Position
  • Fellow
Education
June 2013 - May 2015
Banasthali University
Field of study
  • Bioinformatics
June 2012 - May 2013
Banasthali University
Field of study
  • Bioinformatics
June 2009 - May 2012
Dr. B. R. Ambedkar University
Field of study
  • Zoology, Botany & Chemistry

Publications

Publications (10)
Article
Full-text available
Background: The fungus Purpureocillium lilacinum is widely known as a biological control agent against plant parasitic nematodes. This research article consists of genomic annotation of the first draft of whole genome sequence of P. lilacinum. The study aims to decipher the putative genetic components of the fungus involved in nematode pathogenesi...
Article
Full-text available
Background Subtilisin-like serine proteases or Subtilases in fungi are important for penetration and colonization of host. In Hypocreales, these proteins share several properties with other fungal, bacterial, plant and mammalian homologs. However, adoption of specific roles in entomopathogenesis may be governed by attainment of unique biochemical a...
Article
Full-text available
Oryza coarctata (KKLL; 2n = 4x = 48, 665 Mb) also known as Porteresia coarctata is an extreme halophyte species of genus Oryza. Using Illumina and Nanopore reads, we achieved the assembled genome size of 569.9 Mb, accounting 85.69% of the estimated genome size with N50 of 1.85 Mb and 19.89% repetitive region. We also found 230,968 simple sequence r...
Article
Full-text available
Background Environmental stress induced genetic polymorphisms have been suggested to arbitrate functional modifications influencing adaptations in microbes. The relationship between the genetic processes and concomitant functional adaptation can now be investigated at a genomic scale with the help of next generation sequencing (NGS) technologies. U...
Article
With the progress of sequencing technology coupled with in silico approaches, disclosure of long non-coding RNA (lncRNAs) from RNAseq data has become easy and reliable. Till today, no methodical investigation of lncRNAs and their regulatory roles in tea have been studied. In this study, using 170 RNAseq data (˜7157 million reads) of 11 harvestable...

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