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  • PTRNAmark: an all-atomic distance-dependent knowledge-based potential for 3D RNA structure evaluation
    Yi Yang, Qi Gu, Ya-Zhou Shi
    bioRxiv 076000; doi: https://doi.org/10.1101/076000
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  • Genetic Information Relationship Network (GIRN): A Force-directed graphing tool for gene expression analysis
    Gaelle Rondeau, John Welsh
    bioRxiv 079590; doi: https://doi.org/10.1101/079590
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  • SCORPIUS improves trajectory inference and identifies novel modules in dendritic cell development
    Robrecht Cannoodt, Wouter Saelens, Dorine Sichien, Simon Tavernier, Sophie Janssens, Martin Guilliams, Bart Lambrecht, Katleen De Preter, Yvan Saeys
    bioRxiv 079509; doi: https://doi.org/10.1101/079509
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  • KAT: A K-mer Analysis Toolkit to quality control NGS datasets and genome assemblies
    Daniel Mapleson, Gonzalo Garcia Accinelli, George Kettleborough, Jonathan Wright, Bernardo J. Clavijo
    bioRxiv 064733; doi: https://doi.org/10.1101/064733
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  • Assessing Pathogens for Natural versus Laboratory Origins Using Genomic Data and Machine Learning
    Tonia Korves, Christopher Garay, Heather A. Carleton, Ashley Sabol, Eija Trees, Matthew W. Peterson
    bioRxiv 079541; doi: https://doi.org/10.1101/079541
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  • kWIP: The k-mer Weighted Inner Product, a de novo Estimator of Genetic Similarity
    Kevin D. Murray, Christfried Webers, Cheng Soon Ong, Justin Borevitz, Norman Warthmann
    bioRxiv 075481; doi: https://doi.org/10.1101/075481
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  • Computational prediction shines light on type III secretion origins
    Tatyana Goldberg, Burkhard Rost, Yana Bromberg
    bioRxiv 036251; doi: https://doi.org/10.1101/036251
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  • Computational prediction of the tolerance to amino-acid deletion in green-fluorescent protein
    Eleisha L. Jackson, Stephanie J. Spielman, Claus O. Wilke
    bioRxiv 079061; doi: https://doi.org/10.1101/079061
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  • Adaptive Somatic Mutations Calls with Deep Learning and Semi-Simulated Data
    Remi Torracinta, Laurent Mesnard, Susan Levine, Rita Shaknovich, Maureen Hanson, Susan Levine
    bioRxiv 079087; doi: https://doi.org/10.1101/079087
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  • Quantifying the regulatory effect size of cis-acting genetic variation using allelic fold change
    Pejman Mohammadi, Stephane E Castel, Andrew A Brown, Tuuli Lappalainen
    bioRxiv 078717; doi: https://doi.org/10.1101/078717
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