Browsing Year-2022 by Title

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  • Finding unique pattern in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically associated ...
  • Finding unique patterns in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Background: Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically ...
  • Genome-based in silico models to predict infectious strains of influenza a and rotavirus A 
    Sharma, Khushal; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    The transmission of pathogens or infectious agents from animals to humans, i.e. zoonosis, is of global concern. Outbreaks pertaining to zoonosis have been the one of the major causes of fatalities worldwide. Both Influenza ...
  • Insight from RNA-DNA interaction for regulation of activity of repeat elements and genes 
    Chauhan, Neetesh; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    The RNA world is yet to be understood properly, and the same goes for repeat regions as there has been much research going on to understand their regulatory roles. Here, we have analyzed the RNA-DNA interaction and their ...
  • Manual curation of virus based vaccines and prediction of B-cell epitopes using machine learning technique 
    Tripathi, Sadhana; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Unprecedented rise of newly emerging and re-emerging cases of infectious viral diseases have threatened humanity throughout. Vaccines stand as the safest and effective way to manage scale and spread of infectious diseases. ...
  • Meta-pathway based analysis of stemness 
    Choudhary, Saurav Kumar; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    Recent development in the field of stem cell research field has evoked the great expectations. Researchers these days are full fledgedly working on developing methods to use self renewal potentials of stem cells in treating ...
  • Protein-based in silico models to predict infectious strains of Influenza A 
    Roy, Trinita; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    Influenza A, an infectious viral disease affecting the lungs, is a significant public health concern. It has already caused four pandemics in the past, and some strains are now seasonal. Being zoonotic, the virus is ...
  • A study of meta-learning and transfer learning approaches for clustering of single cell data 
    Munjal, Rishab; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2022-05)
    Single cell RNA-seq data is an important source for profiling cellular heterogeneity. Clustering is an important step in any single cell pipeline because it allows us to discover unknown cell types.Furthermore,it is possible ...
  • Studying priming and poising of cells 
    Ansari, Ariba; kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    An increase in research and development of single-cell genomics led to various insights into cells and their function, it has become a primary focus of research leading to many great discoveries. RNA velocity is one such ...
  • Transfer learning and consensus clustering-based analysis of single-cell data 
    Joshi, Dinesh; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2022-06)
    With the rapid development of sequencing technologies, single-cell genomics has become a primary focus of researchers. Through single-cell RNA-sequencing data analysis, it has now become possible to study some fundamental ...

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