scholarly journals Qiime Artifact eXtractor (qax): A Fast and Versatile Tool to Interact with Qiime2 Archives

BioTech ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 5
Author(s):  
Andrea Telatin
Keyword(s):  
Phylogenetic Tree ◽  
Data Exchange ◽  
Software Tools ◽  
Command Line ◽  
Fasta Format ◽  
Data Exchange Format ◽  
Exchange Format ◽  
Newick Format ◽  
Versatile Tool ◽  
Execution Environment

Qiime2 is one of the most popular software tools used for analysis of output from metabarcoding experiments (e.g., sequencing of 16S, 18S, or ITS amplicons). Qiime2 introduced a novel and innovative data exchange format: the ‘Qiime2 artifact’. Qiime2 artifacts are structured compressed archives containing a dataset and its associated metadata. Examples of datasets are FASTQ reads, representative sequences in FASTA format, a phylogenetic tree in Newick format, while examples of metadata are the command that generated the artifact, information on the execution environment, citations on the used software, and all the metadata of the artifacts used to produce it. While artifacts can improve the shareability and reproducibility of Qiime2 workflows, they are less easily integrated with general bioinformatics pipelines. Accessing metadata in the artifacts also requires full Qiime2 installation. Qiime Artifact eXtractor (qax) allows users to easily interface with Qiime2 artifacts from the command line, without needing the full Qiime2 environment installed (or activated).

Verzahnungsmesstechnik 2021

2021 ◽  
Keyword(s):  
Data Exchange ◽  
Data Exchange Format ◽  
Exchange Format ◽  
Aktuelle Entwicklungen

Inhalt Normung & Richtlinien Normung in der Zahnradmesstechnik – Stand und aktuelle Entwicklungen . . . . 1 Aktuelle Arbeiten des FA 3.61 Verzahnungsmesstechnik, neue Richtlinien . . . . . 7 Die Hirth-Verzahnung – ein Klassiker etabliert sich als moderne Welle-Nabe-Verbindung . . . .23 Berührungslose Messung Optische Verzahnungsmessung, schnell und hochgenau? – Hybride Verzahnungsmessung mit Klingelnberg . . . . . . .35 Weniger Zähne knirschen – Vollständige und flächenhafte Auswertung von Verzahnungsgeometrien verschieden großer Werkstücke aus einer Hand . . . . .47 Einsatz optischer Messtechnik für die Qualitätsprüfung von linearen Zahnstangen – Durchsatz, Genauigkeit und Flexibilität durch variable Inspektion . . . . . 55 Geräuschentwicklung & Ursachen Vom Geräusch zur Ursache: Entstehung von Welligkeiten auf Verzahnungen . . . . . .69 Verzahnungsgeräusche – Beispiele zu ursächlichen Geometrieabweichungen an Verzahnungen. . . . . . . .83 Digitalisierung & Software GDE – Gear Data Exchange Format – Durchgängiger Datenaustausch in der Zahnradproduktion . . . . ....

scholarly journals Recent Trends in JSON Filters

2021 ◽  
pp. 87-93
Author(s):  
Atul Jain ◽  
ShashiKant Gupta
Keyword(s):  
Programming Language ◽  
Web Application ◽  
Data Exchange ◽  
Web Applications ◽  
Data Format ◽  
Data Exchange Format ◽  
Exchange Format ◽  
Recent Trends ◽  
Client Side ◽  
Extract Information

JavaScript Object Notation is a text-based data exchange format for structuring data between a server and web application on the client-side. It is basically a data format, so it is not limited to Ajax-style web applications and can be used with API’s to exchange or store information. However, the whole data never to be used by the system or application, It needs some extract of a piece of requirement that may vary person to person and with the changing of time. The searching and filtration from the JSON string are very typical so most of the studies give only basics operation to query the data from the JSON object. The aim of this paper to find out all the methods with different technology to search and filter with JSON data. It explains the extensive results of previous research on the JSONiq Flwor expression and compares it with the json-query module of npm to extract information from JSON. This research has the intention of achieving the data from JSON with some advanced operators with the help of a prototype in json-query package of NodeJS. Thus, the data can be filtered out more efficiently and accurately without the need for any other programming language dependency. The main objective is to filter the JSON data the same as the SQL language query.

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