The Need for Novel Informatics Tools for Integrating and Planning Research in Molecular and Cellular Cognition
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| Title: | The Need for Novel Informatics Tools for Integrating and Planning Research in Molecular and Cellular Cognition |
|---|---|
| Language: | English |
| Authors: | Silva, Alcino J., Müller, Klaus-Robert |
| Source: | Learning & Memory. Sep 2015 22(9):494-498. |
| Availability: | Cold Spring Harbor Laboratory Press. 500 Sunnyside Boulevard, Woodbury, NY 11797-2924. Tel: 800-843-4388; Tel: 516-367-8800; Fax: 516-422-4097; e-mail: cshpres@cshl.edu; Web site: http://www.learnmem.org/ |
| Peer Reviewed: | Y |
| Page Count: | 5 |
| Publication Date: | 2015 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Molecular Biology, Molecular Structure, Neurosciences, Neurology, Physiology, Cognitive Processes, Biological Sciences, Cytology, Interdisciplinary Approach, Neurological Organization, Research Methodology |
| DOI: | 10.1101/lm.029355.112 |
| ISSN: | 1072-0502 |
| Abstract: | The sheer volume and complexity of publications in the biological sciences are straining traditional approaches to research planning. Nowhere is this problem more serious than in molecular and cellular cognition, since in this neuroscience field, researchers routinely use approaches and information from a variety of areas in neuroscience and other biology fields. Additionally, the multilevel integration process characteristic of this field involves the establishment of experimental connections between molecular, electrophysiological, behavioral, and even cognitive data. This multidisciplinary integration process requires strategies and approaches that originate in several different fields, which greatly increases the complexity and demands of this process. Although causal assertions, where phenomenon A is thought to contribute or relate to B, are at the center of this integration process and key to research in biology, there are currently no tools to help scientists keep track of the increasingly more complex network of causal connections they use when making research decisions. Here, we propose the development of semiautomated graphical and interactive tools to help neuroscientists and other biologists, including those working in molecular and cellular cognition, to track, map, and weight causal evidence in research papers. There is a great need for a concerted effort by biologists, computer scientists, and funding institutions to develop maps of causal information that would aid in integration of research findings and in experiment planning. |
| Abstractor: | As Provided |
| Entry Date: | 2015 |
| Accession Number: | EJ1072254 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1072254 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1072254 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1101/lm.029355.112 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 494 Subjects: – SubjectFull: Molecular Biology Type: general – SubjectFull: Molecular Structure Type: general – SubjectFull: Neurosciences Type: general – SubjectFull: Neurology Type: general – SubjectFull: Physiology Type: general – SubjectFull: Cognitive Processes Type: general – SubjectFull: Biological Sciences Type: general – SubjectFull: Cytology Type: general – SubjectFull: Interdisciplinary Approach Type: general – SubjectFull: Neurological Organization Type: general – SubjectFull: Research Methodology Type: general Titles: – TitleFull: The Need for Novel Informatics Tools for Integrating and Planning Research in Molecular and Cellular Cognition Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Silva, Alcino J. – PersonEntity: Name: NameFull: Müller, Klaus-Robert IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 1072-0502 Numbering: – Type: volume Value: 22 – Type: issue Value: 9 Titles: – TitleFull: Learning & Memory Type: main |
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