The EMBL-EBI search and sequence analysis tools APIs in 2019

By Fábio Madeira, Young M. Park, Joon Lee, Nicola Buso, Tamer Gur, Nandana Madhusoodanan, Prasad Basutkar, Adrian R. N. Tivey, Simon C. Potter, Robert D. Finn and 1 more. 2019

3,783 citations recorded by the source corpus.

Abstract The EMBL-EBI provides free access to popular bioinformatics sequence analysis applications as well as to a full-featured text search engine with powerful cross-referencing and data retrieval capabilities. Access to these services is provided via user-friendly web interfaces and via established RESTful and SOAP Web Services APIs (https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/EMBL-EBI+Web+Services+APIs+-+Data+Retrieval). Both systems have been developed with the same core principles that allow them to integrate an ever-increasing volume of biological data, making them an integral part of many popular data resources provided at the EMBL-EBI. Here, we describe the latest improvements made to the frameworks which enhance the interconnectivity between public EMBL-EBI resources and ultimately enhance biological data discoverability, accessibility, interoperability and reusability.

Subfields: Ecology, Molecular Biology

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In Ecology

  1. Martin Steinegger
  2. Milot Mirdita
  3. Johannes Söding
  4. Hassane S. Mchaourab
  5. Jens Meiler
  6. Diego del Alamo
  7. Davide Sala
  8. Andrei N. Lupas

In Molecular Biology

  1. Johannes Söding
  2. Sean R. Eddy
  3. Martin Steinegger
  4. Eric P. Nawrocki
  5. Milot Mirdita
  6. Robert D. Finn
  7. Alex Bateman
  8. Sam Griffiths-Jones

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