Latest Articles
Synthetic lethality represents a promising therapeutic approach in precision oncology, yet systematic identification of clinically relevant synthetic lethal interactions remains challenging. Here, we present SLAYER (Synthetic Lethality AnalYsis for Enhanced taRgeted therapy), a computational ...
Supervised and unsupervised methods have emerged to address the complexity of single cell data analysis in the context of large pools of independent studies. Here, we present ClusterFoldSimilarity (CFS), a novel statistical method design to quantify the similarity between cell groups across any ...
The availability of high-dimensional transcriptomic datasets is increasing at a tremendous pace, together with the need for suitable computational tools. Clustering and dimensionality reduction methods are popular go-to methods to identify basic structures in these datasets. At the same time, ...
AlphaMissense is a valuable resource for discerning important functional regions within proteins, providing pathogenicity heatmaps that highlight the pathogenic risk of specific mutations along the protein sequence. However, due to protein folding and long-range interactions, the actual structural ...
The scale of modern datasets has necessitated innovations to solve even the most traditional and fundamental of computational problems. Set membership and set cardinality are both examples of simple queries that, for large enough datasets, quickly become challenging using traditional approaches. ...
Editor's Choice Articles
The scale of modern datasets has necessitated innovations to solve even the most traditional and fundamental of computational problems. Set membership and set cardinality are both examples of simple queries that, for large enough datasets, quickly become challenging using traditional approaches. ...
Accessory chromosomes, found in some but not all individuals of a species, play an important role in pathogenicity and host specificity in fungal plant pathogens. However, their variability complicates reference-based analysis, especially when these chromosomes are missing in the reference genome. ...
In addition to their sequence, multiple functions of RNAs are encoded within their structure, which is often difficult to solve using physico-chemical methods. Incorporating low-resolution experimental data such as chemical probing into computational prediction significantly enhances RNA structure ...
Non-canonical small open reading frames (sORFs) are among the main regulators of gene expression. The most studied of these are upstream ORFs (upORFs) located in the 5′-untranslated region (UTR) of coding genes. Internal ORFs (intORFs) in the coding sequence and downstream ORFs (dORFs) in the 3′UTR ...
While numerous methods have been developed for analyzing scRNA-seq data, benchmarking various methods remains challenging. There is a lack of ground truth datasets for evaluating novel gene selection and/or clustering methods. We propose the use of crafted experiments , a new approach based upon ...
Editor-in-Chief
Cedric Notredame
Centre for Genomic Regulation, Barcelona, Spain
Editorial Board
About the journal
NAR Genomics and Bioinformatics is an interdisciplinary journal focused on genomics and bioinformatics large-scale data analysis. It aims at providing the community with high quality results, analysis and methods in all aspects of genomics and bioinformatics. Reproducibility is a strong focus of the journal, and all entries will have to comply with strict guidelines ensuring the perfect reproducibility of both experimental and bioinformatics analysis.
View full scope and criteria for consideration
Publishing with NAR Genomics and Bioinformatics
Join our author community
NAR Genomics and Bioinformatics is an interdisciplinary, fully open access journal focused on genomics and bioinformatics large-scale data analysis. The journal publishes the following publication types:
The Editor-in-Chief welcomes submissions to the journal which adhere to the instructions to authors.
Read and publish agreements
Oxford University Press has Read and Publish agreements with over 25 institutions and consortia around the world allowing affiliated researchers at participating institutions to:
- publish accepted articles open access in OUP journal, with their institutions covering the open access publication charge
- read high quality, high impact research from OUP's prestigious journals
Find out of your institution is participating
Promote your published work with NAR Genomics and Bioinformatics
As the author, you are the best advocate for your work and we encourage you to be involved in promoting your publication! Sharing your ideas and news about your publication with your colleagues and friends could take as little as 15 minutes and will make a real difference in raising the profile of your research.
View OUP's self-promotion guide & learn how OUP also works to promote your content
Featured content
Editor's Choice Articles
Explore articles that have been hand-picked from Editor-in-Chief Cedric Notredame, as the best research from NAR Genomics and Bioinformatics.
Browse the articles
High-Impact Research Collection
Explore a collection of freely available high-impact research from the past two years published in NAR Genomics and Bioinformatics.
Browse the collection
Compositional Data Analysis and Related Methods Applied to Genomics
It is our great pleasure to present this collection of articles on compositional data analysis (CoDA) to the readers of NAR Genomics and Bioinformatics.
Browse the collection
