Search Results for "data capture framework"
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33 projects for "data capture framework" with 2 filters applied:
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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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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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This project moved to GitHub in 2021 and is available at: https://cbrinkrolf.github.io/VANESA/ This tool is a platform-independent software to create individual pathways and to examine biological networks of distributed, heterogeneous data sources, e.g. KEGG, BRENDA. VANESA also offers Petri net modeling of extended hybrid Petri nets which can be also simulated using the OpenModelica framework.
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bioweb
polyglot language framework to analyze genetic data
polyglot framework using Python/C++/JavaScript to fast develop applications to analyze biological sequences -
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An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).
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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...
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Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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JFASTA
Java implementation for the FASTA file format.
JFASTA is a lightweight framework for handling FASTA files. It supports reading, writing and parsing of single- or multi-FASTA files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later. -
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bio-cargo
CARGO - Compressed ARchival for GenOmics
CARGO is a high-level framework that can semi-automatically generate software systems optimized for the compressed storage of arbitrary types of large genomic data collections. Straightforward applications of CARGO methods to compress FASTQ and SAM format archives require only a few lines of code, produce solutions that match and sometimes outperform specialized format-tailored compressors, and scale well to multi-TB datasets. -
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BioUtils - Proteomics
Lightweight framework for handling biological and bioinformatical data
The BioUtils - Proteomics package is a lightweight Java framework for handling commonly used data produced and needed in the field of Mass spectrometry in general and especially in the field of Proteomics. It's stable, intuitive to use and good integrated with Java 6 SDK and later. -
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SPA
SPA: a short peptide assembler for metagenomic data
...A nucleotide assembly-based strategy does not fare much better since metagenomic assemblies are typically very fragmented and also leave a large fraction of reads unassembled. We present a method for reconstructing complete protein sequences directly from NGS metagenomic data. Our framework is based on a novel Short Peptide Assembler (SPA) that assembles protein sequences from their constituent peptide fragments identified on short reads. We also present a new implementation of SPA based on suffix array (SFA-SPA) which runs significantly faster than SPA. Youngik Yang, Cuncong Zhong, and Shibu Yooseph* J. ... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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MZmine 2
A framework for differential analysis of mass spectrometry data
MZmine 2 is a framework written in Java for differential analysis of mass spectrometry data. -
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pipasic
pipasic: Protein Abundance Correction in Metaproteomic Data
Metaproteomic analysis allows studying the interplay of organisms or functional groups and has become increasingly popular also for diagnostic purposes. However, difficulties arise due to the high sequence similarity between related organisms. Further, the state of conservation of proteins between species can be correlated with their expression level which can lead to significant bias in results and interpretation. These challenges are similar but not identical to the challenges arising in... -
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Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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abc-sde
approximate Bayesian computation for stochastic differential equations
...It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the data/observations can be estimated. A 50-pages Reference Manual is provided with two case-studies implemented and discussed. The methodology is based on the research article available at http://arxiv.org/abs/1204.5459 Author's research page is http://www.maths.lth.se/matstat/staff/umberto/ -
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GenOO-HTS
A Modern Perl Framework for High Throughput Sequencing analysis
GenOO-HTS [jee-noo] is an open-source; object-oriented Perl framework specifically developed for the design of High Throughput Sequencing (HTS) analysis tools. The primary aim of GenOO-HTS is to make simple HTS analyses easy and complicated analyses possible. GenOO-HTS models biological entities into Perl objects and provides relevant attributes and methods that allow for the manipulation of high throughput sequencing data. -
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Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection
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A comparative map and trait visualization framework enabling visual integration of genomic data from disparate data sources and allowing rich client-side interactivity and manipulation. Extensible through plugins for new datasources and algorithms.
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Anna is lightweight Java framework to build pipeline systems of any kind. It will take care of recurrent needs such as dependency management, data serialisation and synchronization as well as parallelization of execution.
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A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
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ArrayPlex integrates various forms of microarray data from diverse annotation and primary data sources. It provides a programmatic framework (API set) for collaborative development and deploys as easy to maintain client-server architecture.
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A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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4-Dimensional Cell Simulator (4DiCeS) is a framework on hybrid (stochastic and deterministic) modeling and simulation of (whole) cell environments in 4D. The framework may incorporate any reaction and diffusion algorithms applicable in a 4D grid layout.
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Structure is a framework for two-dimensional molecular visualization written in Java and based on Octet.
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Dogwood is an ontology-aware Distributed Annotation System (DAS) server framework for the integration of biological, biomedical and clinical data.
