The Biomolecular Computation Paradigm: A Survey in Massive Biological Computation
- DOI
- 10.1007/978-3-319-92016-0_15
- Published
- 2018
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/978-3-319-92016-0_15,
title = {The Biomolecular Computation Paradigm: A Survey in Massive Biological Computation},
author = {Georgios Drakopoulos and Dimitrios Tsolis and Antonia Stefani and Phivos Mylonas},
year = {2018},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-319-92016-0_15},
url = {https://doi.org/10.1007/978-3-319-92016-0_15}
}RIS
TY - JOUR TI - The Biomolecular Computation Paradigm: A Survey in Massive Biological Computation AU - Georgios Drakopoulos AU - Dimitrios Tsolis AU - Antonia Stefani AU - Phivos Mylonas PY - 2018 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-319-92016-0_15 UR - https://doi.org/10.1007/978-3-319-92016-0_15 ER -
APA
Drakopoulos, G., Tsolis, D., Stefani, A., & Mylonas, P. (2018). The Biomolecular Computation Paradigm: A Survey in Massive Biological Computation. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-319-92016-0_15
Source records
- crossref · retrieved 2026-11-10T09:46:21.635Z