Featured Article

Systematic Analysis of the Determinants of Gene Expression Noise in Embryonic Stem Cells

Lehner and colleagues
DOI: http://dx.doi.org/10.1016/j.cels.2017.10.003
Cell Systems, Vol. 5, Issue 5
An integrative computational analysis identifies regulatory features that are statistically associated with high and low gene expression noise in mouse embryonic stem cells.

Featured Frontmatter

A Padawan Programmer’s Guide to Developing Software Libraries
James T. Yurkovich, Benjamin J. Yurkovich, Andreas Dräger, Bernhard O. Palsson, Zachary A. King
DOI: http://dx.doi.org/10.1016/j.cels.2017.08.003
In BriefFull-Text HTMLPDF
xWith the rapid adoption of computational tools in the life sciences, scientists are taking on the challenge of developing their own software libraries and releasing them for public use. This trend is being accelerated by popular technologies and platforms, such as GitHub, Jupyter, R/Shiny, that make it easier to develop scientific software and by open-source licenses that make it easier to release software. But how do you build a software library that people will use? And what characteristics do the best libraries have that make them enduringly popular? Here, we provide a reference guide, based on our own experiences, for developing software libraries along with real-world examples to help provide context for scientists who are learning about these concepts for the first time. While we can only scratch the surface of these topics, we hope that this article will act as a guide for scientists who want to write great software that is built to last.

In This Issue

Editorial
Reflections on Covers
H. Craig Mak
DOI: http://dx.doi.org/10.1016/j.cels.2017.11.006
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Cell Systems Call
Principles of Systems Biology, No. 23
DOI: http://dx.doi.org/10.1016/j.cels.2017.11.008
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Commentary
A Padawan Programmer’s Guide to Developing Software Libraries
James T. Yurkovich, Benjamin J. Yurkovich, Andreas Dräger, Bernhard O. Palsson, Zachary A. King
DOI: http://dx.doi.org/10.1016/j.cels.2017.08.003
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Looking Beyond the Stop Sign: Cell-Cycle Checkpoints Reconsidered
Quincey A. Justman
DOI: http://dx.doi.org/10.1016/j.cels.2017.11.004
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Tunable NF-κB Oscillations in Yeast
Joanne M.L. Ho, Jacob R. Mattia, Matthew R. Bennett
DOI: http://dx.doi.org/10.1016/j.cels.2017.11.007
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Dissecting the Ecology of Microbes Using a Systems Toolbox
Tatyana Saleski, James Yi Tan, Xiaoxia Nina Lin
DOI: http://dx.doi.org/10.1016/j.cels.2017.11.009
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Article
Orchestration of DNA Damage Checkpoint Dynamics across the Human Cell Cycle

Hui Xiao Chao, Cere E. Poovey, Ashley A. Privette, Gavin D. Grant, Hui Yan Chao, Jeanette G. Cook, and others
DOI: http://dx.doi.org/10.1016/j.cels.2017.09.015
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Article
Design of Tunable Oscillatory Dynamics in a Synthetic NF-κB Signaling Circuit

Zhi-Bo Zhang, Qiu-Yue Wang, Yu-Xi Ke, Shi-Yu Liu, Jian-Qi Ju, Wendell A. Lim, and others
DOI: http://dx.doi.org/10.1016/j.cels.2017.09.016
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Article
Systematic Analysis of the Determinants of Gene Expression Noise in Embryonic Stem Cells

Andre J. Faure, Jörn M. Schmiedel, Ben Lehner
DOI: http://dx.doi.org/10.1016/j.cels.2017.10.003
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Article
A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines

Mehmet Gönen, Barbara A. Weir, Glenn S. Cowley, Francisca Vazquez, Yuanfang Guan, Alok Jaiswal, and others
DOI: http://dx.doi.org/10.1016/j.cels.2017.09.004
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Article
The Interplay between Feedback and Buffering in Cellular Homeostasis

Edward J. Hancock, Jordan Ang, Antonis Papachristodoulou, Guy-Bart Stan
DOI: http://dx.doi.org/10.1016/j.cels.2017.09.013
Open Access
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Report
Regulatory Dynamics Determine Cell Fate following Abrupt Antibiotic Exposure

Daniel Schultz, Adam C. Palmer, Roy Kishony
DOI: http://dx.doi.org/10.1016/j.cels.2017.10.002
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Report
Dash-and-Recruit Mechanism Drives Membrane Curvature Recognition by the Small Bacterial Protein SpoVM

Edward Y. Kim, Erin R. Tyndall, Kerwyn Casey Huang, Fang Tian, Kumaran S. Ramamurthi
DOI: http://dx.doi.org/10.1016/j.cels.2017.10.004
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Tool
hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction

Ben D. Fulcher, Nick S. Jones
DOI: http://dx.doi.org/10.1016/j.cels.2017.10.001
Open Access
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Meet the Editorial Board

Mike Snyder

The Cell Systems editorial board members include leading voices in the field across a variety of disciplines and up-and-coming researchers who are defining the future of research. With an appreciation for quantitative applications across respective disciplines, they support the breadth of research published in Cell Systems with balanced and informed insights on future directions in science.