98%
921
2 minutes
20
Background: As the amount of genomic data continues to grow, there is an increasing need for systematic ways to organize, explore, compare, analyze and share this data. Despite this, there is a lack of suitable platforms to meet this need.
Results: OpenGenomeBrowser is a self-hostable, open-source platform to manage access to genomic data and drastically simplifying comparative genomics analyses. It enables users to interactively generate phylogenetic trees, compare gene loci, browse biochemical pathways, perform gene trait matching, create dot plots, execute BLAST searches, and access the data. It features a flexible user management system, and its modular folder structure enables the organization of genomic data and metadata, and to automate analyses. We tested OpenGenomeBrowser with bacterial, archaeal and yeast genomes. We provide a docker container to make installation and hosting simple. The source code, documentation, tutorials for OpenGenomeBrowser are available at opengenomebrowser.github.io and a demo server is freely accessible at opengenomebrowser.bioinformatics.unibe.ch .
Conclusions: To our knowledge, OpenGenomeBrowser is the first self-hostable, database-independent comparative genome browser. It drastically simplifies commonly used bioinformatics workflows and enables convenient as well as fast data exploration.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795662 | PMC |
http://dx.doi.org/10.1186/s12864-022-09086-3 | DOI Listing |
J Med Screen
September 2025
Institute of Cardiovascular Science, University College London, London, UK.
It is claimed that polygenic risk scores will transform disease prevention, but a typical polygenic risk score for a common disease only detects 11% of affected individuals at a 5% false positive rate. This level of screening performance is not useful. Claims to the contrary are either due to incorrect interpretation of the data or other influences.
View Article and Find Full Text PDFPlanta
September 2025
Department of Biology, University of Naples Federico II, Via Cinthia 26, 80126, Naples, Italy.
The first complete plastid genome of the critically endangered species Valeriana trinervis was sequenced, assembled and compared with other published Valeriana plastomes. In this study, we assembled the plastid genome of the critically endangered, endemic species Valeriana trinervis (= Centranthus trinervis) and compare it with all published plastomes of Valeriana. We found not only differences in the inverted repeats boundaries, in the type and abundance of repeats, but also similarities in codon usage and microsatellite numbers.
View Article and Find Full Text PDFAnn Hematol
September 2025
Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Approximately 30-40% of diffuse large B-cell lymphoma (DLBCL) patients will develop relapse/refractory disease, who may benefit from novel therapies, such as CAR-T cell therapy. Thus, accurate identification of individuals at high risk of early chemoimmunotherapy failure (ECF) is crucial. Methods.
View Article and Find Full Text PDFFunct Integr Genomics
September 2025
Department of Plastic Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Keloid scarring and Metabolic Syndrome (MS) are distinct conditions marked by chronic inflammation and tissue dysregulation, suggesting shared pathogenic mechanisms. Identifying common regulatory genes could unveil novel therapeutic targets. Methods.
View Article and Find Full Text PDFMar Biotechnol (NY)
September 2025
Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya, China.
Epinephelus tukula is an economically important aquaculture animal, and a major parent in grouper crossbreeding. To better preserve and exploit E. tukula germplasm resources, a core collection (containing 34 individuals derived from 10 genetic groups) was first constructed based on phenotypic growth traits and whole-genome resequencing (WGS) data.
View Article and Find Full Text PDF