Search Results for "replicate"

Orca Core is the central Python control framework for the ORCA Hand, an open-source dexterous robotic hand designed to replicate human-like manipulation capabilities. It provides a high-level abstraction layer over the underlying hardware, allowing developers to interact with the robotic system through simplified joint-space commands rather than low-level motor instructions. The software includes a suite of scripts for calibration, tensioning, and positioning, ensuring that the physical hand operates accurately and consistently across different configurations. ...

...From the RNA-Seq data, MATS can automatically detect and analyze alternative splicing events corresponding to all major types of alternative splicing patterns. MATS handles replicate RNA-Seq data from both paired and unpaired study design. More information can be found at http://rnaseq-mats.sourceforge.net.

rMATS-Iso is a generalization of the rMATS statistical framework, to detect differential splicing modules with complex splicing patterns using replicate RNA-seq data.

...Here, we develop an open-source software tool, the Power Decoder simulator, for generating shRNA pooled screening experiments in silico that can be used to estimate a screen’s statistical power. Using the negative binomial distribution, it models both the relative abundance of multiple shRNAs within a single screening replicate and the biological noise between replicates for each individual shRNA. The Power Decoder simulator is written in R and Python.

Software script assembly to be executed on cnc machines and robots to build, maintain and replicate open source fablab. Here software meets hardware.

Visualize chromatographic properties for peptides from replicate, multi-site HPLC-MRM Mass Spectrometry experiments. RT Viewer was developed to easily visualize and troubleshoot chromatographic properties of a study across multiple laboratories.

...We tackle these problems by introducing a bio-inspired algorithm, which lets the content place itself where it is needed. It is robust, scalable and adaptive. The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. It is easily extendable to support several new scenarios or changes to the algorithm (see replication and client models).