GitHub - fogleman/mol: Render ball-and-stick models of molecules. Society of Systematic Biologists. Bioinformatics Web Sites. Web sites for biology. Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways. Abstract Escher is a web application for visualizing data on biological pathways. Three key features make Escher a uniquely effective tool for pathway visualization.
First, users can rapidly design new pathway maps. Escher provides pathway suggestions based on user data and genome-scale models, so users can draw pathways in a semi-automated way. Second, users can visualize data related to genes or proteins on the associated reactions and pathways, using rules that define which enzymes catalyze each reaction. Author Summary We are now in the age of big data. Citation: King ZA, Dräger A, Ebrahim A, Sonnenschein N, Lewis NE, Palsson BO (2015) Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways. Editor: Paul P. Received: March 18, 2015; Accepted: May 5, 2015; Published: August 27, 2015 Copyright: © 2015 King et al.
Data Availability: All relevant data are within the paper and its Supporting Information files. Introduction Results. Scientists develop free, online genetic research tool -- ScienceDaily. Technology rapidly is advancing the study of genetics and the search for causes of major diseases. Analysis of genomic sequences that once took days or months now can be performed in a matter of hours. Yet, for most genetic scientists, the lack of access to computer servers and programs capable of quickly handling vast amounts of data can hinder genetic advancements. Now, a group of scientists at the University of Missouri has introduced a game changer in the world of biological research. The online, free service, RNAMiner, has been developed to handle large data sets which could lead to faster results in the study of plant and animal genomics. "This work actually started mainly because of the demand of MU scientists," said Jianlin Cheng, an associate professor of computer science in the MU College of Engineering.
"RNA sequencing is the means by which researchers use modern sequencing techniques to study RNA, or ribonucleic acid. The modern life science research platform - Transcriptic. Nucleotides · genome assembler benchmarking. Ceiba. EpiViz 2. iPipet. Tree of Science. Sciencescape. Home | Global Alliance for Genomics and Health. Molecular Flipbook | create & share animated molecular models. IMP: Integrative Multi-species Prediction.
GeneMANIA » search for MRE11A, RAD51, MLH1, MSH2, DMC1, RAD51AP1, RAD50, MSH6, XRCC3, PCNA, XRCC2 in H. sapiens. Isa-tools.org. StratomeX — Institute for Computer Graphics and Vision. Demonstration Video of Caleydo StratomeX Caleydo StratomeX is a visualization technique for the analysis of multiple stratified datasets. A good example for such an analysis scenario is the identification and characterization of cancer subtypes. Understanding subtypes is a precondition for refined therapeutic targeting which in turn is an important step towards improved patient outcomes. Recent research has shown that integrated analysis of different molecular data types generated by the TCGA project can be used to discover subtypes and suggest molecular differences relevant for therapeutic approaches.
StratomeX can be used to explore the results of data analysis systems developed to perform analyses of TCGA data. In fact, for the Firehose pipeline developed by the Broad Institute we provide pre-packaged data on a dedicated website. StratomeX makes such analysis results easier accessible and requires no scripting. To learn more about Caleydo StratomeX refer to the Caleydo help pages. Help. VectorEditor. GenoCAD: CAD Software for Synthetic Biology. National Center for Biotechnology Information. Molecular Workbench : Simulations. Macroscopic Solutions, LLC - Inspiring Discovery. Bioconductor - Home. DNA Subway | iPlant Collaborative Web Portal. Model Organisms.