Ngā hua rapu - Perron, Umberto

In silico prediction of lncRNA function using tissue specific and evolutionary conserved expression mā Perron, Umberto, Provero, Paolo, Molineris, Ivan

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Ambiguity Coding Allows Accurate Inference of Evolutionary Parameters from Alignments in an Aggregated State-Space mā Weber, Claudia C, Perron, Umberto, Casey, Dearbhaile, Yang, Ziheng, Goldman, Nick

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Modeling Structural Constraints on Protein Evolution via Side-Chain Conformational States mā Perron, Umberto, Kozlov, Alexey M, Stamatakis, Alexandros, Goldman, Nick, Moal, Iain H

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Sampling bias and model choice in continuous phylogeography: Getting lost on a random walk mā Kalkauskas, Antanas, Perron, Umberto, Sun, Yuxuan, Goldman, Nick, Baele, Guy, Guindon, Stephane, De Maio, Nicola

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CoRe: a robustly benchmarked R package for identifying core-fitness genes in genome-wide pooled CRISPR-Cas9 screens mā Vinceti, Alessandro, Karakoc, Emre, Pacini, Clare, Perron, Umberto, De Lucia, Riccardo Roberto, Garnett, Mathew J., Iorio, Francesco

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