Evidence map›Paper›PMID 21806842›Full record

ArticleJournal of biomedical semantics2011

The 2nd DBCLS BioHackathon: interoperable bioinformatics Web services for integrated applications.

Toshiaki Katayama, Mark D Wilkinson, Rutger Vos, Takeshi Kawashima, Shuichi Kawashima, Mitsuteru Nakao, Yasunori Yamamoto, Hong-Woo Chun, Atsuko Yamaguchi, Shin Kawano and 47 more

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. NBDC RDF portal: a comprehensive repository for semantic data in life sciences.Database : the journal of biological databases and curation · 2018
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.
Mark D Wilkinson
Rutger Vos
Takeshi Kawashima
Shuichi Kawashima
Mitsuteru Nakao
Yasunori Yamamoto
Hong-Woo Chun
Atsuko Yamaguchi
Shin Kawano
Jan Aerts
Kiyoko F Aoki-Kinoshita
Kazuharu Arakawa
Bruno Aranda
Raoul Jp Bonnal
José M Fernández
Takatomo Fujisawa
Paul Mk Gordon
Naohisa Goto
Syed Haider
Todd Harris
Takashi Hatakeyama
Isaac Ho
Masumi Itoh
Arek Kasprzyk
Nobuhiro Kido
Young-Joo Kim
Akira R Kinjo
Fumikazu Konishi
Yulia Kovarskaya
Greg von Kuster
Alberto Labarga
Vachiranee Limviphuvadh
Luke McCarthy
Yasukazu Nakamura
Yunsun Nam
Kozo Nishida
Kunihiro Nishimura
Tatsuya Nishizawa
Soichi Ogishima
Tom Oinn
Shinobu Okamoto
Shujiro Okuda
Keiichiro Ono
Kazuki Oshita
Keun-Joon Park
Nicholas Putnam
Martin Senger
Jessica Severin
Yasumasa Shigemoto
Hideaki Sugawara
James Taylor
Oswaldo Trelles
Chisato Yamasaki
Riu Yamashita
Noriyuki Satoh
Toshihisa Takagi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interaction between biological researchers and the bioinformatics tools they use is still hampered by incomplete interoperability between such tools. To ensure interoperability initiatives are effectively deployed, end-user applications need to be aware of, and support, best practices and standards. Here, we report on an initiative in which software developers and genome biologists came together to explore and raise awareness of these issues: BioHackathon 2009.

resultsDevelopers in attendance came from diverse backgrounds, with experts in Web services, workflow tools, text mining and visualization. Genome biologists provided expertise and exemplar data from the domains of sequence and pathway analysis and glyco-informatics. One goal of the meeting was to evaluate the ability to address real world use cases in these domains using the tools that the developers represented. This resulted in i) a workflow to annotate 100,000 sequences from an invertebrate species; ii) an integrated system for analysis of the transcription factor binding sites (TFBSs) enriched based on differential gene expression data obtained from a microarray experiment; iii) a workflow to enumerate putative physical protein interactions among enzymes in a metabolic pathway using protein structure data; iv) a workflow to analyze glyco-gene-related diseases by searching for human homologs of glyco-genes in other species, such as fruit flies, and retrieving their phenotype-annotated SNPs.

conclusionsBeyond deriving prototype solutions for each use-case, a second major purpose of the BioHackathon was to highlight areas of insufficiency. We discuss the issues raised by our exploration of the problem/solution space, concluding that there are still problems with the way Web services are modeled and annotated, including: i) the absence of several useful data or analysis functions in the Web service "space"; ii) the lack of documentation of methods; iii) lack of compliance with the SOAP/WSDL specification among and between various programming-language libraries; and iv) incompatibility between various bioinformatics data formats. Although it was still difficult to solve real world problems posed to the developers by the biological researchers in attendance because of these problems, we note the promise of addressing these issues within a semantic framework.

Identifiers

PMID21806842
PMCPMC3170566

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.