Search Results for "linkage"
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Showing 15 open source projects for "linkage"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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TASSEL
TASSEL is a bioinformatics software package
TASSEL is a bioinformatics software package that can analyze diversity for sequences, SNPs, or SSRs. Genotype/phenotype associations can be carried out by GLM or a mixed model. Estimates distance and linkage disequilibrium statistics. -
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Lnkdlst
Single sided linked list (kind of lib with test-code, C, C++ and java)
Use own (user) data section for each Linked-List-Element (LLEl) including a fix Identifier which is for search via basic Lnkdlst function (fast ID-part-search, e.g. to find all elements with a specific bit in the ID set). Main list-linkage-change functions: append, insert, delete. - Examples: use of flexible variable ArgList (OnePointerArg, optional valid if not NULL, Argument-Type by ID-Number is easy to get), key-value pairs, build FIFO{queue}/LIFO{stack}, auto-list with max. Element-Size and chronological order. Use malloc{slower-but-easy} or fix (static) memory... -
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
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NOVA
Analysis and visualization of complexome profiling data.
NOVA is a program designed to analysis complexome profiling data (Heide et al., 2012). A graphical user interface (GUI) provides various visualization tools, such as heat maps and 2D plots. Several hierarchical clustering algorithms (e.g., single linkage, average linkage, Wards linkage), different distance measures (e.g., Euclidean distance, Manhattan distance, Pearson distance), and various normalization techniques are implemented. Many additional functions like zooming, searching for proteins, image export, and automatic file format recognition support intuitive handling for biologists. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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PriorityPruner is a software program which can prune a list of SNPs that are in high linkage disequilibrium (LD) with other SNPs in the list, while preferentially keeping SNPs of higher priority (e.g., the most significant SNPs in a genome-wide association study).
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MendelScan
Variant scoring and linkage mapping for family exome sequencing
MendelScan is a tool for prioritizing candidate variants in family-based studies of inherited disease. -
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HIVCD
Informatics tool for contamination screening in the HIV sequencing lab
HIVCD is an informatics tool developed to identify patient sequences that are too similar to happen by chance alone. Highly similar sequences are likely to occur from contamination or other situations like geographic linkage. Full details can be found in our paper titled "Application of a new informatics tool for contamination screening in the HIV sequencing laboratory" The code provided is a simple user interface to the underlying algorithm. We provide it as a convenience but it comes with absolutely no warranty as stated in the Apache License, Version 2.0. -
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Webtracks
Building a federated science web one link at a time
Webtracks’ objective is to develop an approach and mechanism for constructing and propagating structured information to describe the linkage between distributed research objects in the context of academic activities. -
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Developed at UNSW Library, the Data & Publications Linkage Tool is a configurable open source application that can dynamically generate citations from a Fedora repository. This project is supported by the Australian National Data Service (ANDS).
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Populating Research Data Australia (RDA) with collection descriptions of Australian-related biomolecular data held in the European Bioinformatics Institute (EBI) databanks. This project is ANDS-funded through the DIISR Education Infrastructure Fund.
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This project was embedded into a bigger one called elsuri, visit * https://sourceforge.net/projects/elsuri * PGAdmin is a PostgreSQL DataBase administrator for user/group management, along with privileges control over Stored Procedures and Tables.
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Our software can test for HLA allele and amino-acid differences between two populations. It examines zygosity, tests for strongest association, interaction & linkage disequilibrium among amino acid epitopes.
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febrl-gen is a Java-based frontend to Febrl, an open-source data linkage system written in Python. Users can configure the parameters of a linkage project through the frontend, and febrl-gen will generate a Febrl-ready configuration file.
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EMF 2.0 generated Eclipse plugin to produce an XML Based, Use Case centric, Software Requirements Specification with linkage to external documents and resulting software components. Generates sophisticated html reports. Based on http://xmlbasedsrs.tigris
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JLinker is a simple open-source Java tool that clusters preliminary clustered items (e.g., clusters of two items) into the maximal clusters using single-linkage clustering.
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