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March 2023

Morphologies of select neuron models from the NeuroML Database. Animated 3-D renderings depicting the morphology and electrical activity of each model in the database with more than one compartment are shared at https://neuroml-db.org, along with quantitative characterizations of the morphological properties. Birgiolas et al 2023

Image Credit: Justas Birgiolas, Vergil Haynes, Padraig Gleeson, Richard C. Gerkin, Suzanne W. Dietrich, Sharon Crook

Education Articles

Assembling the perfect bacterial genome using Oxford Nanopore and Illumina sequencing

Ryan R. Wick, Louise M. Judd, Kathryn E. Holt

A mentorship and incubation program using project-based learning to build a professional bioinformatics pipeline in Kenya

Ruth Nanjala, Festus Nyasimi, Daniel Masiga, Caleb Kipkurui Kibet

Ten simple rules for serving as an editor

Cameron Mura, Philip E. Bourne

Ten simple rules for designing and conducting undergraduate replication projects

David Moreau, Kristina Wiebels

Ten simple rules for socially responsible science

Alon Zivony, Rasha Kardosh, Liadh Timmins, Niv Reggev

Perspective

An implementation framework to improve the transparency and reproducibility of computational models of infectious diseases

Darya Pokutnaya, Bruce Childers, Alice E. Arcury-Quandt, Harry Hochheiser, Willem G. Van Panhuis

Review

Ten (not so) simple rules for clinical trial data-sharing

Claude Pellen, Anne Le Louarn, Gilliosa Spurrier-Bernard, Evelyne Decullier, Jean-Marie Chrétien, Eric Rosenthal, Gérard Le Goff, David Moher, John P. A. Ioannidis, Florian Naudet

Research Articles

Modelling daily weight variation in honey bee hives

Karina Arias-Calluari, Theotime Colin, Tanya Latty, Mary Myerscough, Eduardo G. Altmann

Inferring protein fitness landscapes from laboratory evolution experiments

Sameer D’Costa, Emily C. Hinds, Chase R. Freschlin, Hyebin Song, Philip A. Romero

Personality variation is eroded by simple social behaviours in collective foragers

Sean A. Rands, Christos C. Ioannou

NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML

Justas Birgiolas, Vergil Haynes, Padraig Gleeson, Richard C. Gerkin, Suzanne W. Dietrich, Sharon Crook

Predicting functional effects of ion channel variants using new phenotypic machine learning methods

Christian Malte Boßelmann, Ulrike B. S. Hedrich, Holger Lerche, Nico Pfeifer

Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence

Luciana Melina Luque, Carlos Manuel Carlevaro, Camilo Julio Llamoza Torres, Enrique Lomba

Macroscopic resting state model predicts theta burst stimulation response: A randomized trial

Neda Kaboodvand, Behzad Iravani, Martijn P. van den Heuvel, Jonas Persson, Robert Boden

CustOmics: A versatile deep-learning based strategy for multi-omics integration

Hakim Benkirane, Yoann Pradat, Stefan Michiels, Paul-Henry Cournède

Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression

Christophe Le Priol, Chloé-Agathe Azencott, Xavier Gidrol

Mechano-biological and bio-mechanical pathways in cutaneous wound healing

Marco Pensalfini, Adrian Buganza Tepole

G4mismatch: Deep neural networks to predict G-quadruplex propensity based on G4-seq data

Mira Barshai, Barak Engel, Idan Haim, Yaron Orenstein

OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

Anni S. Halkola, Kaisa Joki, Tuomas Mirtti, Marko M. Mäkelä, Tero Aittokallio, Teemu D. Laajala

First passage time analysis of spatial mutation patterns reveals sub-clonal evolutionary dynamics in colorectal cancer

Magnus J. Haughey, Aleix Bassolas, Sandro Sousa, Ann-Marie Baker, Trevor A. Graham, Vincenzo Nicosia, Weini Huang

Towards self-describing and FAIR bulk formats for biomedical data

Michael Lukowski, Andrew Prokhorenkov, Robert L. Grossman

Hindcasts and forecasts of suicide mortality in US: A modeling study

Sasikiran Kandula, Mark Olfson, Madelyn S. Gould, Katherine M. Keyes, Jeffrey Shaman

Predicting the causative pathogen among children with pneumonia using a causal Bayesian network

Yue Wu, Steven Mascaro, Mejbah Bhuiyan, Parveen Fathima, Ariel O. Mace, Mark P. Nicol, Peter C. Richmond, Lea-Ann Kirkham, Michael Dymock, David A. Foley, Charlie McLeod, Meredith L. Borland, Andrew Martin, Phoebe C. M. Williams, Julie A. Marsh, Thomas L. Snelling, Christopher C. Blyth

Inferring feature importance with uncertainties with application to large genotype data

Pål Vegard Johnsen, Inga Strümke, Mette Langaas, Andrew Thomas DeWan, Signe Riemer-Sørensen

ProInfer: An interpretable protein inference tool leveraging on biological networks

Hui Peng, Limsoon Wong, Wilson Wen Bin Goh

Large eddy simulation of droplet transport and deposition in the human respiratory tract to evaluate inhalation risk

Alicia Murga, Rahul Bale, Chung-Gang Li, Kazuhide Ito, Makoto Tsubokura

Metheor: Ultrafast DNA methylation heterogeneity calculation from bisulfite read alignments

Dohoon Lee, Bonil Koo, Jeewon Yang, Sun Kim

adaPop: Bayesian inference of dependent population dynamics in coalescent models

Lorenzo Cappello, Jaehee Kim, Julia A. Palacios

Characterization of RNA polymerase II trigger loop mutations using molecular dynamics simulations and machine learning

Bercem Dutagaci, Bingbing Duan, Chenxi Qiu, Craig D. Kaplan, Michael Feig

A real data-driven simulation strategy to select an imputation method for mixed-type trait data

Jacqueline A. May, Zeny Feng, Sarah J. Adamowicz

New workflow predicts drug targets against SARS-CoV-2 via metabolic changes in infected cells

Nantia Leonidou, Alina Renz, Reihaneh Mostolizadeh, Andreas Dräger

A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer

Delora Baptista, Pedro G. Ferreira, Miguel Rocha

In vitro–in silico correlation of three-dimensional turbulent flows in an idealized mouth-throat model

Eliram Nof, Saurabh Bhardwaj, Pantelis Koullapis, Ron Bessler, Stavros Kassinos, Josué Sznitman

Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit

Adam Ponzi, Salvador Dura-Bernal, Michele Migliore

Modeling bee movement shows how a perceptual masking effect can influence flower discovery

Ana Morán, Mathieu Lihoreau, Alfonso Pérez-Escudero, Jacques Gautrais

Global nonlinear approach for mapping parameters of neural mass models

Dominic M. Dunstan, Mark P. Richardson, Eugenio Abela, Ozgur E. Akman, Marc Goodfellow

A real-time feedback system stabilises the regulation of worker reproduction under various colony sizes

Simeon Adejumo, Tomonori Kikuchi, Kazuki Tsuji, Kana Maruyama-Onda, Ken Sugawara, Yoshikatsu Hayashi

Docking cholesterol to integral membrane proteins with Rosetta

Brennica Marlow, Georg Kuenze, Jens Meiler, Julia Koehler Leman

The effect of non-linear signal in classification problems using gene expression

Benjamin J. Heil, Jake Crawford, Casey S. Greene

An associative memory Hamiltonian model for DNA and nucleosomes

Weiqi Lu, José N. Onuchic, Michele Di Pierro

One model fits all: Combining inference and simulation of gene regulatory networks

Elias Ventre, Ulysse Herbach, Thibault Espinasse, Gérard Benoit, Olivier Gandrillon

Robust deep learning object recognition models rely on low frequency information in natural images

Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow

The evolution of behavioral cues and signaling in displaced communication

Arthur Bernard, Steffen Wischmann, Dario Floreano, Laurent Keller

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses

William T. Harvey, Vinny Davies, Rodney S. Daniels, Lynne Whittaker, Victoria Gregory, Alan J. Hay, Dirk Husmeier, John W. McCauley, Richard Reeve

Validation framework for epidemiological models with application to COVID-19 models

Kimberly A. Dautel, Ephraim Agyingi, Pras Pathmanathan

Network models of protein phosphorylation, acetylation, and ubiquitination connect metabolic and cell signaling pathways in lung cancer

Karen E. Ross, Guolin Zhang, Cuneyt Akcora, Yu Lin, Bin Fang, John Koomen, Eric B. Haura, Mark Grimes

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Carlos A. Gandarilla-Pérez, Sergio Pinilla, Anne-Florence Bitbol, Martin Weigt

Development of a scoring function for comparing simulated and experimental tumor spheroids

Julian Herold, Eric Behle, Jakob Rosenbauer, Jacopo Ferruzzi, Alexander Schug

JASPER: A fast genome polishing tool that improves accuracy of genome assemblies

Alina Guo, Steven L. Salzberg, Aleksey V. Zimin

Predicting regrowth of low-grade gliomas after radiotherapy

Stéphane Plaszczynski, Basile Grammaticos, Johan Pallud, Jean-Eric Campagne, Mathilde Badoual

Corrections

Correction: Ten simple rules for leveraging virtual interaction to build higher-level learning into bioinformatics short courses

Wendi Bacon, Alexandra Holinski, Marina Pujol, Meredith Wilmott, Sarah L Morgan, on behalf of the European Molecular Biology Laboratory—European Bioinformatics Institute Training Team

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Correction: A musculoskeletal finite element model of rat knee joint for evaluating cartilage biomechanics during gait

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