Bioinformatics

A deep learning approach to pattern recognition for short DNA sequences
Akosua Busia, George E. Dahl, Clara Fannjiang, David H. Alexander, Elizabeth Dorfman, Ryan Poplin, Cory Y. McLean, Pi-Chuan Chang, Mark DePristo

bioRxiv 353474; doi: https://doi.org/10.1101/353474 New Results

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Inference of CRISPR Edits from Sanger Trace Data
Tim Hsiau, David Conant, Nicholas Rossi, Travis Maures, Kelsey Waite, Joyce Yang, Sahil Joshi, Reed Kelso, Kevin Holden, Brittany L Enzmann, Rich Stoner

bioRxiv 251082; doi: https://doi.org/10.1101/251082 New Results

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Tensor decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis
Y-h. Taguchi, Turki Turki

bioRxiv 684225; doi: https://doi.org/10.1101/684225 New Results

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Sparse reduced-rank regression for exploratory visualization of multimodal data sets
Dmitry Kobak, Yves Bernaerts, Marissa A. Weis, Federico Scala, Andreas Tolias, Philipp Berens

bioRxiv 302208; doi: https://doi.org/10.1101/302208 New Results

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SAPH-ire TFx: A Machine Learning Recommendation Method and Webtool for the Prediction of Functional Post-Translational Modifications
Nolan English, Matthew Torres

bioRxiv 731026; doi: https://doi.org/10.1101/731026 New Results

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Using Machine Learning and Gene Nonhomology Features to Predict Gene Ontology
Xiuru Dai, Zheng Xu, Zhikai Liang, Xiaoyu Tu, Silin Zhong, James C. Schnable, Pinghua Li

bioRxiv 730473; doi: https://doi.org/10.1101/730473 New Results

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Extremely fast and accurate open modification spectral library searching of high-resolution mass spectra using feature hashing and graphics processing units
Wout Bittremieux, Kris Laukens, William Stafford Noble

bioRxiv 627497; doi: https://doi.org/10.1101/627497 New Results

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Pyntheon: A Functional Analysis Framework for Protein Modifications and Mutations of 83 Model Organisms
Ahmed Arslan

bioRxiv 725846; doi: https://doi.org/10.1101/725846 New Results

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An evolutionary conservation based benchmark of seven methods detecting nycthemeral rhythms in gene expression shows that only strong rhythmic signals are reliably detected
David Laloum, Marc Robinson-Rechavi

bioRxiv 730937; doi: https://doi.org/10.1101/730937 New Results

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Inferring putative transmission clusters with Phydelity
Alvin X. Han, Edyth Parker, Sebastian Maurer-Stroh, Colin A. Russell

bioRxiv 477653; doi: https://doi.org/10.1101/477653 New Results

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Bioinformatics

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