Literature DB >> 15360926

Applying task analysis to describe and facilitate bioinformatics tasks.

Dat Tran1, Christopher Dubay, Paul Gorman, William Hersh.   

Abstract

OBJECTIVE: To document bioinformatics tasks currently per-formed by researchers in genomics and proteomics in an effort to recognize unmet informatics needs and challenges, identify system features that would enhance the performance of those tasks, and inform the development of new bioinformatics tools.
DESIGN: A cross-sectional study of bioinformatics tasks performed by OHSU investigators involved in genomics and proteomics research was conducted using task analysis techniques.
RESULTS: Four major categories emerged from 22 bioinformatics tasks reported by 6 research laboratories. These were: 1) gene analysis, 2) protein analysis, 3) biostatistical analysis, and 4) literature searching. Analysis of the data also raised the following challenging issues: 1) lack of procedural documentation, 2) use of home-grown strategies to accomplish goals, 3) individual needs and preferences, and 4) lack of awareness of existing bioinformatics tools.
CONCLUSION: Task analysis was effective at documenting bioinformatics tasks performed by researchers in the fields of genomics and proteomics, at identifying potentially desirable system features and useful bioinformatics tools, and at providing a better understanding of some of the unmet needs and challenges faced by these researchers.

Mesh:

Year:  2004        PMID: 15360926

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

1.  Issues in biomedical research data management and analysis: needs and barriers.

Authors:  Nicholas R Anderson; E Sally Lee; J Scott Brockenbrough; Mark E Minie; Sherrilynne Fuller; James Brinkley; Peter Tarczy-Hornoch
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

2.  Supporting cognition in systems biology analysis: findings on users' processes and design implications.

Authors:  Barbara Mirel
Journal:  J Biomed Discov Collab       Date:  2009-02-13

3.  Characterizing Data Discovery and End-User Computing Needs in Clinical Translational Science.

Authors:  Parmit K Chilana; Elishema Fishman; Estella M Geraghty; Peter Tarczy-Hornoch; Fredric M Wolf; Nick R Anderson
Journal:  J Organ End User Comput       Date:  2011       Impact factor: 4.349

4.  Integrating automated workflows, human intelligence and collaboration.

Authors:  Barbara Mirel; Felix Eichinger; Viji Nair; Matthias Kretzler
Journal:  Summit Transl Bioinform       Date:  2009-03-01

5.  Knowledge-driven enhancements for task composition in bioinformatics.

Authors:  Karen Sutherland; Kenneth McLeod; Gus Ferguson; Albert Burger
Journal:  BMC Bioinformatics       Date:  2009-10-01       Impact factor: 3.169

6.  BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements.

Authors:  María Pérez; Rafael Berlanga; Ismael Sanz; María José Aramburu
Journal:  J Biomed Semantics       Date:  2013-05-01
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.