IIIT-Delhi Institutional Repository

Browsing Computational Biology by Issue Date

Browsing Computational Biology by Issue Date

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  • Tandem mass spectrometry workflow in el-maven 
    Agrawal, Shubhra; Jha, Abhishek (Advisor); Bagler, Ganesh (Advisor) (IIIT-Delhi, 2018-11)
    Metabolomics, defined as the study of an organism’s entire metabolic profile, is a direct read-out of the physiological changes at the cellular level and has the potential to positively inform drug-target discovery and ...
  • Modeling the circadian dynamics of morning and evening oscillators and the role of circadian rhythm in learning and memory 
    S, Shiju; K, Sriram (Advisor) (IIIT-Delhi, 2019-07)
    Circadian rhythms (CR) are 24h endogenous oscillations seen in all organisms that control different biological processes including sleep-wake cycles, body temperature, cell division cycle, heartbeat, and metabolic rates. ...
  • Automated discovery of abstracts reporting gene-disease relationship 
    Sharma, Divya; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2020-01)
    Text classification is a construction problem of models which can classify new documents into predefined classes. It is important before text mining that we know what is the most important data that we require for our ...
  • Cancersmell:molecular basis of chemosensation in cancer cells 
    Kalra, Siddhant; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2020-05)
  • Computational analysis and compilation of leukemia biomarkers 
    Walia, Anjali; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2020-06)
    LeukemiaBD, is a Database of Biomarker data for Leukemia. The aim of this database is to serve as a comprehensive repository catering to all relevant information related to Leukemia. The database currently has manually ...
  • Pathomap : gene-organ relationships a literature-based investigation, visualization & analysis 
    Raj, Abhijit; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2020-07)
    Genetics has brought huge breakthroughs in understanding human health & wellbeing, diseases and treatment through modern methods such as personalized medicine. This has been possible through substantial research in the ...
  • In-silico identification of biomarkers and vaccine candidates for advancement of lung cancer therapeutics 
    Lathwal, Anjali; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2020-09)
    According to the World Health Organization report, around 10 million new cases are diagnosed with cancer in the year 2018 alone. Out of these, nearly 45% of the cancer incidences were reported from the Asian countries, 26% ...
  • Classification of agonist and antagonist using machine learning 
    Aggarwal, Bhavay; Ray, Arjun (Advisor) (IIIT-Delhi, 2021-05)
    Proteins are essential for carrying out the activities our cells perform. Agonist and Antagonist molecules are essential in dictating cell activities and hence the Identi cation of the action of such complexes will help ...
  • An extensive study on state-of-the-art c decompilers 
    Singh, Sejal; Purandare, Rahul (Advisor); Jain, Ridhi (Advisor) (IIIT-Delhi, 2021-06)
    C decompilers are often chosen by the developers when they do not have the source code available in order to either debug or understand the code. Previous studies suggest that the C decompilers are not correct; however, ...
  • Mapping the maze : a study of internet shutdowns across the world 
    Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) (IIIT-Delhi, 2021-06)
    The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, ...
  • Prediction of high-risk cancer patients using clinical factors and expression profile of apoptosis regulators 
    Arora, Chakit; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2021-08)
    With about 19 million occurrences and 10 million mortalities in 2020, “Cancer” is the second leading source of mortality worldwide (WHO GLOBOCAN). The top three continents burdened with cancer deaths are Asia (58.3 percent), ...
  • Network biology of inflammatory bowel diseases 
    Dhyani, Tushar; Bagler, Ganesh (Advisor); Ray, Arjun (Advisor) (IIIT-Delhi, 2021-08)
    Inflammatory bowel disease (IBD) is a general term for chronic conditions caused by inflammation of the gastrointestinal tract. IBD is classified mainly into two forms namely; Crohn’s disease (CD) and Ulcerative colitis ...
  • Estimating genetic selection with unified approach and studying its effect on human phenome 
    Lakra, Nikhil Mark; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2021-12)
    Natural selection is a mechanism of evolution, and genetic mutations form the basis of this evolutionary mechanism. With humans migrating out of Africa and inhabiting different parts of the earth, different populations ...
  • AI based prediction of HLA-DRB1*04:01 binder for designing subunit vaccines 
    Patiyal, Sumeet; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022)
    HLA gene complex is a highly polymorphic region in the human genome and mutations associated with these regions can lead to many deadly disorders such as bare lymphocyte syndrome, whereas presence of few HLA-class II alleles ...
  • Quantum control theory 
    Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2022)
    This report presents a literature review survey about the field of Quantum Control Theory and its applications. Concepts of control followed in classical control (including open-loop control and closed loop control) are ...
  • 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 ...
  • 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 ...
  • Analysis for RNA based liquid biopsy for various cancers 
    Dabas, Vikash; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    Due to the advent of next-generation sequencing techniques, the sequencing cost is reduced with increasing accuracy. We can use this as an advantage in liquid biopsy to identify and monitor cancer at different stages, which ...
  • 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 ...
  • 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 ...

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