Search Results - "Krishnan, Vidhya G."

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  1. 1

    Automated inference of molecular mechanisms of disease from amino acid substitutions by Li, Biao, Krishnan, Vidhya G., Mort, Matthew E., Xin, Fuxiao, Kamati, Kishore K., Cooper, David N., Mooney, Sean D., Radivojac, Predrag

    Published in Bioinformatics (01-11-2009)
    “…Motivation: Advances in high-throughput genotyping and next generation sequencing have generated a vast amount of human genetic variation data. Single…”
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    Journal Article
  2. 2

    326-LB: BCL-xL/BCL2L1 Is a Critical Anti-Apoptotic Protein that Suppresses BAK to Promote Pancreatic Specification from Human Pluripotent Stem Cells by SAI WENG LOO, LARRY, TEO, ADRIAN, GHOSH, SOUMITA, ALVIN PURNOMO SOETEDJO, ANDREAS, NGUYEN, LINH, KRISHNAN, VIDHYA G., HOON, SHAWN

    Published in Diabetes (New York, N.Y.) (01-06-2019)
    “…The differentiation of human pluripotent stem cells (hPSCs) into desired cell types such as the pancreatic cells involve cellular proliferation and apoptosis…”
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  3. 3
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    In silico functional profiling of human disease-associated and polymorphic amino acid substitutions by Mort, Matthew, Evani, Uday S, Krishnan, Vidhya G, Kamati, Kishore K, Baenziger, Peter H, Bagchi, Angshuman, Peters, Brandon J, Sathyesh, Rakesh, Li, Biao, Sun, Yanan, Xue, Bin, Shah, Nigam H, Kann, Maricel G, Cooper, David N, Radivojac, Predrag, Mooney, Sean D

    Published in Human mutation (01-03-2010)
    “…An important challenge in translational bioinformatics is to understand how genetic variation gives rise to molecular changes at the protein level that can…”
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  5. 5

    Predicting cancer drivers: are we there yet? by Krishnan, Vidhya G, Ng, Pauline C

    Published in Genome medicine (26-11-2012)
    “…Genomic variants with a key role in causing cancer or affecting the response to cancer therapeutics need to be identified so that they can be targeted for…”
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  6. 6

    Bioinformatic tools for identifying disease gene and SNP candidates by Mooney, Sean D, Krishnan, Vidhya G, Evani, Uday S

    “…As databases of genome data continue to grow, our understanding of the functional elements of the genome grows as well. Many genetic changes in the genome have…”
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    Journal Article