Search Results for "control panel web"

* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data...

Request new Lab Inventory feature or module and receive a free Single User version with new feature. Help us to improve Lab Inventory. We want to hear your feedback! https://www.atgclabs.com/products/li The Lab Inventory System is an innovative, easy to learn solution for research laboratories. You can quickly and easily upload your existing Excel based inventory and get started in minutes, manage laboratory inventory, place orders and keep track of them in one place. Lab Inventory...

Request new Lab Inventory feature or module and receive a free Single User version with new feature. Help us to improve Lab Inventory. We want to hear your feedback! https://www.atgclabs.com/products/li The Lab Inventory System is an innovative, easy to learn full-featured solution for research laboratories. You can quickly and easily upload your existing Excel based inventory and get started in minutes, manage laboratory inventory, place orders and keep track of them in one...

...It comprises 3 parts: (1) the core Spectrum Viewer displays peptide-spectrum matches and implements zooming, mouse-over peaks to highlight matching parts of peptide, mouse-over parts of peptide to highlight matching peaks, export SVG, and API; (2) the Auxiliary Annotator matches peptide to spectrum for given parameters and prepares the data for the Viewer; (3) these reside on a web page that provides the user control over peptides, spectra and other parameters e.g. linker mass.

This project intends to create a bacteria simulator framework, with some realistic bacteria control methods based on chemical signaling, simple sensors, motors and neural networks. The bacteria will evolve in a genetic algorithm environment.