TreeView is a simple, easy to use phylogenetic tree viewing utility that runs under both MacOS (on Apple Macintosh computers) and under Microsoft Windows on Intel based computers, the two most common personal computers used by biologists. Some phylogeny programs, such as PAUP (Swofford, 1993) and MacClade (Maddison and Maddison, 1992) already provide excellent tree…
Computer applications in the biosciences Template
Write in a clean editor, then format for Computer applications in the biosciences in one click — DocuGuru applies the official Oxford University Press template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Computer applications in the biosciences format
Computer applications in the biosciences is a peer-reviewed journal published by Oxford University Press, covering Genomics and Phylogenetic Studies, Gene expression and cancer classification, RNA and protein synthesis mechanisms.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Computer applications in the biosciences, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — Computer applications in the biosciences has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Genomics and Phylogenetic Studies Gene expression and cancer classification RNA and protein synthesis mechanisms Genetics, Bioinformatics, and Biomedical Research Machine Learning in Bioinformatics |
| ISSN | 0266-7061 |
| h-index | 152 |
| i10-index | 913 |
| Total citations | 149,623 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Computer applications in the biosciences per year
Citation impact of Computer applications in the biosciences by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Computer applications in the biosciences
An efficient means for generating mutation data matrices from large numbers of protein sequences is presented here. By means of an approximate peptide-based sequence comparison algorithm, the set sequences are clustered at the 85% identity level. The closest relating pairs of sequences are aligned, and observed amino acid exchanges tallied in a matrix. The raw…
SUMMARY: PowerMarker delivers a data-driven, integrated analysis environment (IAE) for genetic data. The IAE integrates data management, analysis and visualization in a user-friendly graphical user interface. It accelerates the analysis lifecycle and enables users to maintain data integrity throughout the process. An ever-growing list of more than 50 different statistical analyses for genetic markers has…
The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks visualized in Cytoscape. BiNGO maps the predominant functional…
MOTIVATION: High-throughput technologies such as DNA sequencing and microarrays have created the need for automated annotation of large sets of genes, including whole genomes, and automated identification of pathways. Ontologies, such as the popular Gene Ontology (GO), provide a common controlled vocabulary for these types of automated analysis. Yet, while GO offers tremendous value, it…