Research Article

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Publishing date: 2019-11-14 Published on: Genome Biology summary: Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. The authors present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss functions to learn patterns in the data, allowing for accurate imputation.

Measuring sustainability of seed-funded earth science informatics projects

Publishing date: 2019-11-14 Published on: PLOS ONE summary: Short term funding is a common funding model for informatics projects. Funders are interested in maximizing the sustainability and accessibility of the outputs, but there are no commonly accepted practices to do so in the Earth sciences informatics field.

odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments

Publishing date: 2019-11-14 Published on: Frontiers in Neuroinformatics summary: None authors: Julia Sprenger, Lyuba Zehl, Jana Pick, Michael Sonntag, Jan Grewe, Thomas Wachtler, Sonja Grün, and Michael Denker link to paper: https://doi.

Open Source Seed, a Revolution in Breeding or Yet Another Attack on the Breeder’s Exemption?

Publishing date: 2019-11-14 Published on: Frontiers in Plant Science summary: The Open Source Seed Initiative was initiated in 2012. Following concerns about the concentration in the seed sector and the rise of patenting, the initiative is “dedicated to maintaining fair and open access to plant genetic resources worldwide in order to ensure the availability of germplasm to farmers, gardeners, breeders, and communities of this and future generations.

Ramf: An Open-Source R Package for Statistical Analysis and Display of Quantitative Root Colonization by Arbuscular Mycorrhiza Fungi

Publishing date: 2019-11-14 Published on: Frontiers in Plant Science summary: None authors: Marco Chiapello, Debatosh Das and Caroline Gutjahr link to paper: https://doi.org/10.3389/fpls.2019.01184 Icons made by catkuro from www.flaticon.com

The TargetMine Data Warehouse: Enhancement and Updates

Publishing date: 2019-11-14 Published on: Frontiers in Genetics summary: Biological data analysis is the key to new discoveries in disease biology and drug discovery. The rapid proliferation of high-throughput ‘omics’ data has necessitated a need for tools and platforms that allow the researchers to combine and analyse different types of biological data and obtain biologically relevant knowledge.

Agreement between the spatiotemporal gait parameters from two different wearable devices and high-speed video analysis

Publishing date: 2019-10-17 Published on: PLOS ONE summary: This study aimed to evaluate the concurrent validity of two different inertial measurement units for measuring spatiotemporal parameters during running on a treadmill, by comparing data with a high-speed video analysis (VA) at 1,000 Hz.

An Open Source Syringe Pump Controller for Fluid Delivery of Multiple Volumes

Publishing date: 2019-10-17 Published on: eNeuro summary: Syringe pumps are a necessary piece of laboratory equipment that are used for fluid delivery in behavioral neuroscience laboratories. Many experiments provide rodents and primates with fluid rewards such as juice, water, or liquid sucrose.

Free-space transfer of comb-rooted optical frequencies over an 18 km open-air link

Publishing date: 2019-10-17 Published on: Nature Communications summary: Phase-coherent transfer of optical frequencies over a long distance is required for diverse photonic applications, including optical clock dissemination and physical constants measurement.

Joint emulation of Earth System Model temperature-precipitation realizations with internal variability and space-time and cross-variable correlation: fldgen v2.0 software description

Publishing date: 2019-10-17 Published on: PLOS ONE summary: Earth System Models (ESMs) are excellent tools for quantifying many aspects of future climate dynamics but are too computationally expensive to produce large collections of scenarios for downstream users of ESM data.