PatSeq

Biological Toolset
Search and analyse Biological Sequences disclosed in patents

Choose among the 5 apps available to you to search and analyse the DNA, RNA and protein sequences found in patents. The Lens’ unique open PatSeq facility allows you to search, analyse and share the biological sequences disclosed in patents. This is the world’s largest publicly available database with internal transparency metrics.

https://www.lens.org/lens/bio

LOV

LOV stands for Linked Open Vocabularies. This name is derived from LOD, standing for Linked Open Data. Let’s assume that the reader is somehow familiar with the latter concept, otherwise a visit to http://linkeddata.org/ or http://www.w3.org/2013/data/ will help to figure it before further reading.

Data on the Web use properties (aka predicates) and classes (aka types) to describe people, places, products, events, and any kind of things whatsoever. In the data “Mary is a person, her family name is Watson, she lives is the city of San Francisco”, “Person” is the class of Mary, “City” is the class of San Francisco, “family name” and “lives is” are properties used to describe a person, the latter acting also as a link between a person and a place.

A vocabulary in LOV gathers definitions of a set of classes and properties (together simply called terms of the vocabulary), useful to describe specific types of things, or things in a given domain or industry, or things at large but for a specific usage.

Terms of vocabularies also provide the links in linked data, in the above case between a Person and a City. The definitions of terms provided by the vocabularies bring clear semantics to descriptions and links, thanks to the formal language they use (some dialect of RDF such as RDFS or OWL). In short, vocabularies provide the semantic glue enabling Data to become meaningful Data.

https://lov.linkeddata.es/dataset/lov

OntoWiki

OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWIG for text documents.

http://ontowiki.net/

Wikidata

Wikidata is a free and open knowledge base that can be read and edited by both humans and machines.

Wikidata acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others.

Wikidata also provides support to many other sites and services beyond just Wikimedia projects! The content of Wikidata is available under a free license, exported using standard formats, and can be interlinked to other open data sets on the linked data web.

https://www.wikidata.org

OpenRefine

OpenRefine (formerly Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.
OpenRefine is available in English, Chinese, Spanish, French, Russian, Portuguese (Brazil), German, Japanese, Italian, Hungarian, Hebrew, Filipino, Cebuano, Tagalog.

http://openrefine.org/

Open Definition

The Open Definition sets out principles that define “openness” in relation to data and content.

It makes precise the meaning of “open” in the terms “open data” and “open content” and thereby ensures quality and encourages compatibility between different pools of open material.

https://opendefinition.org/