EURASIP Journal on Bioinformatics and Systems Biology Template
Write in a clean editor, then format for EURASIP Journal on Bioinformatics and Systems Biology in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the EURASIP Journal on Bioinformatics and Systems Biology format
EURASIP Journal on Bioinformatics and Systems Biology is a peer-reviewed journal published by Springer Nature, covering Gene Regulatory Network Analysis, Bioinformatics and Genomic Networks, Gene expression and cancer classification.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. EURASIP Journal on Bioinformatics and Systems Biology 12, 45–58 (2023).
Formats any DOI in EURASIP Journal on Bioinformatics and Systems Biology style. No sign-up. |
| Publishes research in | Gene Regulatory Network Analysis Bioinformatics and Genomic Networks Gene expression and cancer classification RNA and protein synthesis mechanisms Machine Learning in Bioinformatics |
| ISSN | 1687-4145 |
| h-index | 28 |
| i10-index | 117 |
| Total citations | 3,782 |
| Top institutions publishing here | Texas A&M University |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in EURASIP Journal on Bioinformatics and Systems Biology per year
Citation impact of EURASIP Journal on Bioinformatics and Systems Biology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in EURASIP Journal on Bioinformatics and Systems Biology
The reductionist approach of dissecting biological systems into their constituents has been successful in the first stage of the molecular biology to elucidate the chemical basis of several biological processes. This knowledge helped biologists to understand the complexity of the biological systems evidencing that most biological functions do not arise from individual molecules; thus, realizing…
Modeling stochasticity in gene regulatory networks is an important and complex problem in molecular systems biology. To elucidate intrinsic noise, several modeling strategies such as the Gillespie algorithm have been used successfully. This article contributes an approach as an alternative to these classical settings. Within the discrete paradigm, where genes, proteins, and other molecular components…
Biological network alignment aims to find regions of topological and functional (dis)similarities between molecular networks of different species. Then, network alignment can guide the transfer of biological knowledge from well-studied model species to less well-studied species between conserved (aligned) network regions, thus complementing valuable insights that have already been provided by genomic sequence alignment. Here,…