Evidence map›Paper›PMID 20727200›Full record

ArticleJournal of biomedical semantics2010

The DBCLS BioHackathon: standardization and interoperability for bioinformatics web services and workflows. The DBCLS BioHackathon Consortium*.

Toshiaki Katayama, Kazuharu Arakawa, Mitsuteru Nakao, Keiichiro Ono, Kiyoko F Aoki-Kinoshita, Yasunori Yamamoto, Atsuko Yamaguchi, Shuichi Kawashima, Hong-Woo Chun, Jan Aerts and 47 more

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Towards a comprehensive assessment of QSP models: what would it take?Journal of pharmacokinetics and pharmacodynamics · 2024
    Review
  2. Ten simple rules to run a successful BioHackathon.PLoS computational biology · 2020
    Article
  3. Article
  4. Article
  5. NBDC RDF portal: a comprehensive repository for semantic data in life sciences.Database : the journal of biological databases and curation · 2018
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The use of glycoinformatics in glycochemistry.Beilstein journal of organic chemistry · 2012
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

57 authors.

Toshiaki KatayamaDatabase Center for Life Science, Research Organization of Information and Systems, 2-11-16 Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan. ktym@hgc.jp.
Kazuharu Arakawa
Mitsuteru Nakao
Keiichiro Ono
Kiyoko F Aoki-Kinoshita
Yasunori Yamamoto
Atsuko Yamaguchi
Shuichi Kawashima
Hong-Woo Chun
Jan Aerts
Bruno Aranda
Lord Hendrix Barboza
Raoul Jp Bonnal
Richard Bruskiewich
Jan C Bryne
José M Fernández
Akira Funahashi
Paul Mk Gordon
Naohisa Goto
Andreas Groscurth
Alex Gutteridge
Richard Holland
Yoshinobu Kano
Edward A Kawas
Arnaud Kerhornou
Eri Kibukawa
Akira R Kinjo
Michael Kuhn
Hilmar Lapp
Heikki Lehvaslaiho
Hiroyuki Nakamura
Yasukazu Nakamura
Tatsuya Nishizawa
Chikashi Nobata
Tamotsu Noguchi
Thomas M Oinn
Shinobu Okamoto
Stuart Owen
Evangelos Pafilis
Matthew Pocock
Pjotr Prins
René Ranzinger
Florian Reisinger
Lukasz Salwinski
Mark Schreiber
Martin Senger
Yasumasa Shigemoto
Daron M Standley
Hideaki Sugawara
Toshiyuki Tashiro
Oswaldo Trelles
Rutger A Vos
Mark D Wilkinson
William York
Christian M Zmasek
Kiyoshi Asai
Toshihisa Takagi

Funding

ZINC DEFICIENCY &PROTEIN EXPRESSION IN RAT OLFACTORY BULBSP41RR018502 · NCRR · UNIVERSITY OF GEORGIA (UGA) · PI AZADI, PARASTOO · 2003 to 2011
$13.1M
Biotechnology and Biological Sciences Research Council BB/G010218/1NCRR NIH HHS P41 RR018502
6 · The paper itself

Abstract

Web services have become a key technology for bioinformatics, since life science databases are globally decentralized and the exponential increase in the amount of available data demands for efficient systems without the need to transfer entire databases for every step of an analysis. However, various incompatibilities among database resources and analysis services make it difficult to connect and integrate these into interoperable workflows. To resolve this situation, we invited domain specialists from web service providers, client software developers, Open Bio* projects, the BioMoby project and researchers of emerging areas where a standard exchange data format is not well established, for an intensive collaboration entitled the BioHackathon 2008. The meeting was hosted by the Database Center for Life Science (DBCLS) and Computational Biology Research Center (CBRC) and was held in Tokyo from February 11th to 15th, 2008. In this report we highlight the work accomplished and the common issues arisen from this event, including the standardization of data exchange formats and services in the emerging fields of glycoinformatics, biological interaction networks, text mining, and phyloinformatics. In addition, common shared object development based on BioSQL, as well as technical challenges in large data management, asynchronous services, and security are discussed. Consequently, we improved interoperability of web services in several fields, however, further cooperation among major database centers and continued collaborative efforts between service providers and software developers are still necessary for an effective advance in bioinformatics web service technologies.

Identifiers

PMID20727200
PMCPMC2939597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.