Grafana: The open and composable observability platform
Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.
Grafana is the open source analytics & monitoring solution for every database.
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Failed Payment Recovery for Subscription Businesses
For subscription companies searching for a failed payment recovery solution to grow revenue, and retain customers.
FlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
A first-of-its-kind homeownership solution that puts YOU at the center of the coveted lifetime consumer relationship.
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Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
FORce based Cluster Editing (FORCE) is a Java software heuristically solving the graph cluster editing problem on weighted edges using BLAST E-values. It further provides a training mode for heuristic parameter estimation.
Open2Dprot is an open-source proteomics project for the development of bioinformatic tools for n-dimensional protein expression data analysis of quantified protein expression across multiple samples from research experiments.
PANDA (Protein And Nucleotide Data Archive) unifies the archival of the sequences from Taxonomy,GenBank,RefSeq,UniProt,PDB,and PRF on a regular interval to build and maintain a Protein and Nucleotide data archive. This project is part of BRC project fund
A collection of novel phylogenetics algorithms that assists biologists, geneticists, and bioinformaticians in the analysis and interpretation of phylogenetic data.
SOMMS is an analysis program for mass spectra intended for bio-informatics research. Its goal is to relate theoretical spectra with raw data. A previous version, accompanying an article published in Rapid Comm. in Mass Spectrometry, was written in Perl.
A plugin for segmentation and analysis of images of vascular networks.
A plugin package for ImageJ that assists with quantification and characterization of vascular networks. The tool regularizes lighting, segments the vessels, and generates a skeletal description that reflects the biological structures of interest.
PARs is a bioinformatics tool for the analysis of cis-regulatory DNA sequences. Composed of two parts: a suite of sequence analysis algorithms for predicting cis-binding sites in DNA sequences and a GUI for visualisation and exploration of the results.
Jyrax is a Java-based, embeddable DAS/2 client designed to work with the 'assay' portion of the evolving DAS/2 specification. Jyrax can query a DAS/2 server and select microarray or other experimental data for retrieval.
OBOES (Open Biomedical Ontology-Based Enrichment and Search) is an information-theory-based platform that embeds new integrative methods allowing biologists to evaluate new hypotheses.
By integrating heterogeneous original data with uniform RDF format, creating additional ontology mappings between GO terms, and introducing a set of reasoning rulebases, we proposed a RDF model GORouter.
Comprehensive Meta Prediction and Annotation Services for Proteins: The new all-in-one prediction tool that can be easily extended to include any SOAP/WSDL-enabled prediction servers. A concise user interface lets you use the results instantly.
The JefNET (Java Evolutionary Framework Network) Proj. consists of three subprojects: JEF, Dna, JXTAJef. Our intent is to provide a distributed genetic programming framework for the Java language, and a network in which classes can spontaneously evolve.
DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
The Canopy project is an initiative to merge and expand the functionality of Perl-speaks-NONMEM (PsN), Census, Xpose and PopED. The goal is to produce a coherent, inclusive and convenient platform for pharmacometric data analysis.