The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods...
github.com - SHAMAN is a shiny application for differential analysis of metagenomic data (16S, 18S, 23S, 28S, ITS and WGS) including bioinformatics treatment of raw reads for targeted metagenomics, statistical analysis and results visualization with a large...
wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class...
academic.oup.com - Mobyle, to provide a flexible and usable Web environment for defining and running bioinformatics analyses. It embeds simple yet powerful data management features that allow the user to reproduce analyses and to combine tools using a hierarchical...
hub.docker.com - GPSRdocker (http://webs.iiitd.edu.in/gpsrdocker/) is Presently it contain software developed at G. P. S. Raghava's group (http://webs.iiitd.edu.in/raghava/ ).
The programs and the package are free software for academic users. Permission...
wego.genomics.org.cn - WEGO (Web Gene Ontology Annotation Plot) is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. As the GO vocabulary became more and more popular, WEGO was widely adopted and used in many...
busca.biocomp.unibo.it - BUSCA (Bologna Unified Subcellular Component Annotator) is a web-server for predicting protein subcellular localization. BUSCA integrates different tools to predict localization-related protein features (DeepSig, TPpred3, PredGPI and ENSEMBLE3.0) as...
genome.cs.nthu.edu.tw - CSAR-web is a web-based tool that allows the users to efficiently and accurately scaffold (i.e. order and orient) the contigs of a target draft genome based on a complete or incomplete reference genome from a related organism.
CSAR-web can...
What can we learn from people with the genetics to get sick — who don't? With most inherited diseases, only some family members will develop the disease, while others who carry the same genetic risks dodge it. Stephen Friend suggests we start...