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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.20.391912v1?rss=1 Authors: Choudhary, K. S., Fahy, E., Coakley, K., Sud, M., Maurya, M. R., Subramaniam, S. Abstract: With the advent of high throughput mass spectrometric methods, metabolomics has emerged as an essential area …
Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.19.390773v1?rss=1 Authors: Ge, X., Chen, Y. E., Song, D., McDermott, M., Woyshner, K., Manousopoulou, A., Wang, L. D., Li, W., Li, J. J. Abstract: High-throughput biological data analysis commonly involves the identification of…
Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.17.367490v1?rss=1 Authors: Rizwan, S., Pike, D., Poudel, S., Nanda, V. Abstract: Cofactor binding sites in proteins often are composed of favorable interactions of specific cofactors with the sidechains and/or backbone protein …
Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.17.386813v1?rss=1 Authors: Dragan, I., Sparso, T., Kuznetsov, D., Slieker, R., Ibberson, M. Abstract: Summary: dsSwissKnife is an R package that enables several powerful analyses to be performed on federated datasets. The packa…
Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.11.19.390542v1?rss=1 Authors: Burstein, D., Fullard, J., Roussos, P. Abstract: Prior to identifying clusters in single cell gene expression experiments, selecting the top principal components is a critical step for filtering out n…
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