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Current Opinion in Systems Biology is a peer-reviewed journal published by Elsevier, covering Gene Regulatory Network Analysis, Microbial Metabolic Engineering and Bioproduction, Single-cell and spatial transcriptomics.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Current Opinion in Systems Biology 12 (2023) 45–58.
Formats any DOI in Current Opinion in Systems Biology style. No sign-up. |
| Publishes research in | Gene Regulatory Network Analysis Microbial Metabolic Engineering and Bioproduction Single-cell and spatial transcriptomics Bioinformatics and Genomic Networks Diverse Scientific and Economic Studies |
| ISSN | 2452-3100 |
| Citation impact (2-yr) | 2.81 |
| h-index | 53 |
| i10-index | 284 |
| Total citations | 11,503 |
| Article processing charge | $3,500 |
| Top institutions publishing here | ETH Zurich |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
We discuss issues of structural and practical identifiability of partially observed differential equations, which are often applied in systems biology. The development of mathematical methods to investigate structural nonidentifiability has a long tradition. Computationally efficient methods to detect and cure it have been developed recently. Practical nonidentifiability, on the other hand, has not been investigated…
Recent technological advances have enabled unprecedented insight into transcriptomics at the level of single cells. Single cell transcriptomics enables the measurement of transcriptomic information of thousands of single cells in a single experiment. The volume and complexity of resulting data make it a paradigm of big data. Consequently, the field is presented with new scientific…
Cell-cell communication is a fundamental process that shapes biological tissue. Historically, studies of cell-cell communication have been feasible for one or two cell types and a few genes. With the emergence of single-cell transcriptomics, we are now able to examine the genetic profiles of individual cells at unprecedented scale and depth. The availability of such…
The increase in imaging throughput, new analytical frameworks and high-performance computational resources open new avenues for data-rich phenotypic profiling of small molecules in drug discovery. Image-based profiling assays assessing single-cell phenotypes have been used to explore mechanisms of action, target efficacy and toxicity of small molecules. Technological advances to generate large data sets together with…
