Search Results for "api web programming"

A header file (cexcept.h) that provides Try/Throw/Catch macros similar to those available in C++ for error handling.

...To access the tool's predictions, please use SPiP, accessible at : https://sourceforge.net/projects/splicing-prediction-pipeline/ or https://github.com/raphaelleman/SPiP If you have questions, please contact me to: r.leman@baclesse.unicancer.fr or raphael.leman@orange.fr v2.1.5 (05/2019) + corr (01/2020): Fix bug for linux version v2.1.4 (03/2019): Proxy management (only for Windows version) v2.1.3 (07/2018): correction bug for first 3' ss import vcf file v2.1.2 (06/2018): Import duplication Simplify import of deletion with one nucleotide Use tryCatch Improving web api connection check

ClinStudyWeb is designed to provide a flexible infrastructure for managing patient and assay data from clinical studies. It uses a plugin system for study-specific web forms and arbitrarily complex test classifiers, and supports XML import/export.

PheMaDB is a web-based data management system to store and analyze OmniLog Phenotype Microarray data. The manuscript can be accessed here: http://www.biomedcentral.com/1471-2105/12/109. Chang WE et al. BMC Bioinformatics. 2011 Apr 20;12(1):109.

CNV Workshop is a web-enabled platform for analyzing genome variation such as copy number variation (CNV). Learn about CNV Workshop in our associated BMC Bioinformatics manuscript: http://www.biomedcentral.com/1471-2105/11/74

GEOSS (Gene Expression Open Source System), formerly known as GeneX Va, provides a web-based interface for the storage and analysis of Affymetrix GeneChipŽ and other microarray data. It has been developed by engineers at the GeneChip/Microarray Bioinform

Microarray analysis database

Open, extensible web-based collaborative platform for microarray gene expression, sequence and PPI data analysis, exposing distinct chainable components for clustering, pattern discovery, statistics (thru R), machine-learning algorithms and visualization

Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).