As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site.
Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/)
More details and documentation can be found on the wiki:
http://sourceforge.net/p/adamajava/wiki/Home/
Evoker is a graphical tool for plotting genotype intensity data in order to assess quality of genotype calls. It implements a compact, binary format which allows rapid access to data, even with hundreds of thousands of observations.
PLEASE NOTE: This source repository is no longer active. See the github link above for the latest version.
IDEA (Interactive Display for Evolutionary Analyses) augments PAML with a graphical interface, phylogeny reconstruction using PhyML or PHYLIP, convenient and efficient parallel processing and visualizations.
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
graphite: a portable graphics library, written in Java, JOGL and Postscript that allows rapid generation of high-quality graphs using an efficient, compact Java engine.
Set of tools and libs for
managing structured data
in a very flexible way:
Imp./Exp. ASCII, XML, SQL,
PS, Tex/LaTex, RTF
GUI: X-Windows, MS-Windows
Interface to C++, DBs, Perl,
PHP, Java, TCP/IP
LISP-like interpreter
written in C++ using C-LIB
OmniGene is a set of reausable components that have been packaged into frameworks. These frameworks are used to produce domain specific services for common bioinformatics tasks including: visualization, database access, and pipeline building.