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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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...
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PLEASE NOTE: This source repository is no longer active.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.
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What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
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
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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.