PMM-Lab was developed as an accessible and open source extension to KNIME, also known as the Konstanz Information Miner.
PMM-Lab is a tool that contains three large components:
· a library of KNIME nodes
· a library of “standard” workflows
· an HSQL database to store experimental data and microbial models
PMM-Lab is an extension that’s been developed to standardize the statistical analysis of experimental microbial data. Moreover, PMM-Lab can also be used to ease the development of predictive microbial models (PMM).
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· PMM-Lab provides the community with a tool to help standardize, standardize, and standardize: the experimental data in omics (genomics, transcriptomics, proteomics, metabolomics, lipidomics, and fluxomics), the data collection and the statistical analysis of both standardized and non-standardized data
· PMM-Lab includes a comprehensive library of KNIME nodes and workflows that can be used to replicate similar statistical analyses that are common in the current practice of microbial model development.
· PMM-Lab’s focus on PMM opens the scope to integrate and include the previously missing process of linking microbial metabolic models with microbial data.
When it comes to omics data, the relevance of the type of data used is very important. For example, phenotypic, transcriptomic, or proteomic data may just measure the effects of a perturbation, whereas metabolomic data may measure the effects of a perturbation within the enzymatic network.
These data are complementary and can be integrated into the same statistical analysis. For this reason, PMM-Lab also includes nodes to load and standardize several types of data in the same row into the database.
· PMM-Lab provides a comprehensive collection of workflows, mainly for setting up statistical analyses of both standardized and non-standardized data. However, other bioinformatic tasks are also included within the same package.
· PMM-Lab includes a database to store curated experimental data and the metabolic models. This database has an HSQL-based database engine and has built-in web features and connectors to integrate external services or other databases.
· PMM-Lab is compatible with SGA version 2.1.1 (heavens.columbia.edu/Software/SGA/).
· PMM-Lab also stores the models in SBML format, which can be imported, visualized, and saved as a Knime node.
· PMM-Lab supports all the relevant data inputs in the following packages: genomics, transcriptomics, proteomics, metabolomics, fluxomics, and lipidomics.MARS, vol. 4. “Mama Salta” Mother Earth–Mars
Mama Salta, or Mother Earth, is a feminine persona who originates from below and bears the Earth. This motherly figure is always seen in front of the south, begging for food and life. She eats the garlic that grows from the ground to keep away
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● Clean experimental data is transformed into a CSV file, which can be imported into the PMM-Lab For Windows 10 Crack.
● Data is partitioned into multiple parts based on the metadata of the experiment.
● Within each part of the experiment, experiments are merged into a single dataset.
● The data is then formatted for statistical analysis.
● Further analyses are carried out, including partial correlation, linear regression, and hierarchical clustering.
● The resultant data is then stored in the PMM-Lab database and can be used to develop PMMs.
● Lastly, the PMM-Lab is integrated into KNIME. The resulting package can be imported into KNIME for further statistical analyses and model development.
● PMM-Lab also provides PMM user interfaces that contain functions for model construction and evaluation.
2017-07-19
Manifestation, diffusion, and reception of infectious diseases (MDR)
Depictions are the means for the expression of thought. By painting, sounds, photographs, they are tools that allow people to capture fleeting moments of time and things. They can serve as a means for social commentary, but they can also be used to express our ideas. They are a manifestation of reality, a reminder of the past and a reflection of the present. They embody common perceptions, memories, and reality. They are as old as man, but they are seldom seen or heard. We are witness to various kinds of rituals, ceremonies, celebrations, and the proceedings of governments and nations. For some time now, the humanities have been getting back in touch with portrayals, especially with visual art. This is also the case with infectious diseases, as the latter have been a topic of visual art in the past, and continue to be.
This MSc thesis focuses on the portrayals of various infectious diseases in art. It covers the portrayal of the following infectious diseases: Ebola, SARS, Zika, HIV/AIDS, Tuberculosis, and Influenza (including the deadly Spanish Flu of 1918 and the Swine Flu of 2009). We further concentrate on how their portrayals have changed over the past decades.
Drawing on sources that have been published in newspapers, magazines, and scholarly journals, we will examine how these portrayals have changed over the past decades. The portrayals can, of course, be based on research, art criticism, the media, and reviews. Some of these sources were made available for the first time by cultural institutions such as the Museums of African Art,
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PMM-Lab is mainly composed of four specific functionalities:
· the main interface of PMM-Lab, which includes the selection of a model, the availability of standard PMM functions and a set of data input and output options
· the KNIME nodes:
· Node 1: represents the standard PMM function (i.e. likelihood functions for the construction of PMM) and opens up the PMM-Lab database
· Node 2: manipulates a specific database (i.e. HSQL) through the use of Java and opens up the PMM-Lab database
· Node 3: contains a user-oriented description of the experimental data
· Node 4: represents a minimal set of data input and output options
· Node 5: represents a specific data subset that is useful to increase the complexity of an experiment.
· the data input and output options
· The standard PMM functions (modes)
· Additional data input and output options, such as the identification of input variables (LIDI) or output variables (OIDI)
· PMM-Lab functions that have been developed specifically for the standardization of an experiment
Description:
The Genomic Sequence String (GSS) viewer is an application for browsing the GSS-FLX sequence archive format. GSS-FLX is the first large-scale sequencing effort which employs a combination of novel methods to sequence bacterial DNA (HiSeq).
The GSS-FLX Compressed Sequences (GSS-CS) file format is a variation of the GSS-FLX file format which contains all the sequence information for each read sequence (i.e. the DNA sequence, the read-map, the read-length etc.).
Description:
The “Application Programming Interface” (API) specification is a description of a programming interface. Developers can use this API to develop Applications that interact with the SAGGOMM 1.0 database. SAGGOMM is an ongoing project that allows users to store, update and analyze metadata of microbial genome sequences. This API specification helps developers develop tools that interact with SAGGOMM.
Description:
The SAGGOMM genome-metagenome comparison service is a web based service, which allows users to compare/concord two micrograph libraries (meta-gene-library), which are stored in a SAGGOMM database. Users can use these libraries to correlate biological signals
What’s New in the?
The PMM-Lab workbench is based on highly scalable open source tool – KNIME. KNIME is a platform for data mining and analytics developed by Konstanz Information Miner and has been integrated with the KNIME Analytics Platform Extension and PMM-Lab workbench.
Description:
Data storage in PMM-Lab is fully integrated. PMM-Lab does not store any raw data in any form. Data can be uploaded or downloaded from within the workbench using the PMM-Lab graph editor.
An overview of the data storage is available from the PMM-Lab web app.
Download:
Version: 0.2.5
Date Added: 2010-11-10
File Size: 14.4 MB
Platform: Windows
Price: Free
Credit:
License:
The extension is published under GNU GPLv3
Extension Publisher:
The extension is published under GNU GPLv3
Author name:
PMM-Lab is a project of the Helmholtz Centre for Infection Research in partnership with the University of AmsterdamCold War Canines : Dogs and Their Cold War Service
Early Cold War Spy Dogs in the OASIS
Photograph by NASA
The age of the United States and the Soviet Union, known as the “Cold War,” lasted for more than 50 years, from 1945 to 1990. During this period, the U.S. and the Soviet Union (then referred to as the Union of Soviet Socialist Republics, or USSR) both suffered from external and internal political conflicts, resulting in great loss of life and destruction to property. There was never a war between the U.S. and the Soviet Union, but there was, however, a direct war among the citizens, the U.S. and the Soviet Union.
During the Cold War, the United States was a superpower, having a large economy and a powerful military and was perceived by the rest of the world as the strongest country. The Soviet Union was the Soviet Union. It had a much smaller economy, but it was internally strong, believing in a communist ideology. Both nations engaged in propaganda to persuade other nations to their political system or ideology. Both nations developed nuclear weapons to maintain their political status, but without firing a shot. They engaged in proxy wars in many countries, like South Korea, Vietnam and Afghanistan to support their ideology in places such as Vietnam. There were
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