Search Results - "Hegde, Shubhada R"

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  1. 1

    Computational Identification of the Proteins Associated With Quorum Sensing and Biofilm Formation in Mycobacterium tuberculosis by Hegde, Shubhada R

    Published in Frontiers in microbiology (22-01-2020)
    “…With prolonged therapy and increased instances of drug resistance, tuberculosis is viewed as a serious infectious disease causing high mortality. Emerging…”
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    Journal Article
  2. 2

    Integrated sequence and -omic features reveal novel small proteome of Mycobacterium tuberculosis by Sinha, Priyansha Raj, Balasubramanian, Rami, Hegde, Shubhada R

    Published in Frontiers in microbiology (15-05-2024)
    “…Bioinformatic studies on small proteins are under-represented due to difficulties in annotation posed by their small size. However, recent discoveries…”
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  3. 3

    Genome-wide identification of the context-dependent sRNA expression in Mycobacterium tuberculosis by Ami, Vimla Kany G, Balasubramanian, Rami, Hegde, Shubhada R

    Published in BMC genomics (18-02-2020)
    “…Tuberculosis remains one of the leading causes of morbidity and mortality worldwide. Therefore, understanding the pathophysiology of Mycobacterium tuberculosis…”
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  4. 4

    Transcription facilitated genome-wide recruitment of topoisomerase I and DNA gyrase by Ahmed, Wareed, Sala, Claudia, Hegde, Shubhada R, Jha, Rajiv Kumar, Cole, Stewart T, Nagaraja, Valakunja

    Published in PLoS genetics (02-05-2017)
    “…Movement of the transcription machinery along a template alters DNA topology resulting in the accumulation of supercoils in DNA. The positive supercoils…”
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  5. 5

    Tumor relevant protein functional interactions identified using bipartite graph analyses by Venkatraman, Divya Lakshmi, Pulimamidi, Deepshika, Shukla, Harsh G., Hegde, Shubhada R.

    Published in Scientific reports (02-11-2021)
    “…An increased surge of -omics data for the diseases such as cancer allows for deriving insights into the affiliated protein interactions. We used bipartite…”
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  6. 6

    Understanding communication signals during mycobacterial latency through predicted genome-wide protein interactions and boolean modeling by Hegde, Shubhada R, Rajasingh, Hannah, Das, Chandrani, Mande, Sharmila S, Mande, Shekhar C

    Published in PloS one (20-03-2012)
    “…About 90% of the people infected with Mycobacterium tuberculosis carry latent bacteria that are believed to get activated upon immune suppression. One of the…”
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  7. 7

    Revisiting intrinsic transcription termination in mycobacteria: U-tract downstream of secondary structure is dispensable for termination by Ahmad, Ezaz, Hegde, Shubhada R., Nagaraja, Valakunja

    “…In Escherichia coli, G/C-rich hairpin structure followed by a U-tract in the 3′ region of the nascent RNA are crucial determinants for intrinsic or factor…”
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  8. 8

    Dynamic changes in protein functional linkage networks revealed by integration with gene expression data by Hegde, Shubhada R, Manimaran, Palanisamy, Mande, Shekhar C

    Published in PLoS computational biology (01-11-2008)
    “…Response of cells to changing environmental conditions is governed by the dynamics of intricate biomolecular interactions. It may be reasonable to assume,…”
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  9. 9

    Integrating multi-omics data to investigate pseudogene expression in Mycolicibacterium smegmatis by Balasubramanian, Rami, Hegde, Shubhada R.

    Published in Gene (10-09-2020)
    “…•Multi-dimensional -omics data can be used to study various functional aspects of the genome.•Using -omic data, expression signals in the pseudogene regions in…”
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  10. 10

    Rho-dependent transcription termination is the dominant mechanism in Mycobacterium tuberculosis by Ahmad, Ezaz, Mitra, Anirban, Ahmed, Wareed, Mahapatra, Varsha, Hegde, Shubhada R., Sala, Claudia, Cole, Stewart T., Nagaraja, Valakunja

    “…Intrinsic and Rho-dependent transcription termination mechanisms regulate gene expression and recycle RNA polymerase in bacteria. Both the modes are well…”
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  11. 11

    Devising Isolation Forest-Based Method to Investigate the sRNAome of Mycobacterium tuberculosis Using sRNA-seq Data by Maity, Upasana, Aggarwal, Ritika, Balasubramanian, Rami, Venkatraman, Divya Lakshmi, R Hegde, Shubhada

    Published in Bioinformatics and biology insights (01-01-2024)
    “…Small non-coding RNAs (sRNAs) regulate the synthesis of virulence factors and other pathogenic traits, which enables the bacteria to survive and proliferate…”
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  12. 12

    Differential enrichment of regulatory motifs in the composite network of protein-protein and gene regulatory interactions by Hegde, Shubhada R, Pal, Khushbu, Mande, Shekhar C

    Published in BMC systems biology (27-02-2014)
    “…An important aspect of molecular interactions is the dynamics associated with growth conditions. Intuitively, not all possible interactions take place together…”
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  13. 13

    Prediction of conditional gene essentiality through graph theoretical analysis of genome-wide functional linkages by Manimaran, P, Hegde, Shubhada R, Mande, Shekhar C

    Published in Molecular bioSystems (01-01-2009)
    “…The genome of an organism characterizes the complete set of genes that it is capable of encoding. However, not all of the genes are transcribed and translated…”
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  14. 14

    Delineation of key regulatory elements identifies points of vulnerability in the mitogen-activated signaling network by Jailkhani, Noor, Ravichandran, Srikanth, Hegde, Shubhada R, Siddiqui, Zaved, Mande, Shekhar C, Rao, Kanury V S

    Published in Genome research (01-12-2011)
    “…Drug development efforts against cancer are often hampered by the complex properties of signaling networks. Here we combined the results of an RNAi screen…”
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  15. 15

    Identification of self-consistent modulons from bacterial microarray expression data with the help of structured regulon gene sets by Permina, Elizaveta A., Medvedeva, Yulia A., Baeck, Pia M., Hegde, Shubhada R., Mande, Shekhar C., Makeev, Vsevolod J.

    “…Identification of bacterial modulons from series of gene expression measurements on microarrays is a principal problem, especially relevant for inadequately…”
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  16. 16

    Devising Isolation Forest-Based Method to Investigate the sRNAome of Using sRNA-seq Data by Upasana Maity, Ritika Aggarwal, Rami Balasubramanian, Divya Lakshmi Venkatraman, Shubhada R Hegde

    Published in Bioinformatics and biology insights (01-07-2024)
    “…Small non-coding RNAs (sRNAs) regulate the synthesis of virulence factors and other pathogenic traits, which enables the bacteria to survive and proliferate…”
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    Journal Article
  17. 17
  18. 18

    Dynamic Changes in Protein Functional Linkage Networks Revealed by Integration with Gene Expression Data: e1000237 by Hegde, Shubhada R, Manimaran, Palanisamy, Mande, Shekhar C

    Published in PLoS computational biology (01-11-2008)
    “…Response of cells to changing environmental conditions is governed by the dynamics of intricate biomolecular interactions. It may be reasonable to assume,…”
    Get full text
    Journal Article