To support open access scientific publishing and increase the discoverability of genetics and genomics research, ScienceOpen has partnered with the Genetics Society of America (GSA) to integrate the open access journal G3: Genes, Genomes, Genetics into the ScienceOpen discovery environment in the form of a featured collection.
How are researchers working with genetics content on ScienceOpen? Our users have curated collections on topics such as higher order chromatin architecture, CRISPR/Cas9 editing in human blood, genome engineering using CRISPR, and the measurement of glucocorticoid receptor signaling in major depression. We always welcome more researcher-led collections in genetics on ScienceOpen so contact us today for editor status!
GSA’s open access journal G3: Genes, Genomes, Genetics provides a forum for the publication of high-quality genetics and genomics research such as genome maps, single gene studies, genome‐wide association and QTL studies, as well as genome reports, mutant screens, and advances in methods and technology. Furthermore, G3 has published thematic collections on Genomic Prediction, Multiparental Populations, Genetics of Immunity, and Genetics of Sex. As a featured collection on ScienceOpen, this journal is placed in a digital research environment of interactive tools that increases the discoverability of its findings.
G3’s excellence and commitment to rapid review and publication of important results in all areas of genetics was awarded with the DOAJ Seal – a mark of certification for open access journals awarded by the Directory of Open Access Journals to journals that achieve a high level of openness, adhering to Best Practices and high publishing standards. Within its discovery environment of over 55 million article records and interactive community of research collections, ScienceOpen provides a broad and dynamic context for open discussions and implementation of open science goals and strategies.
The ‘G3: Genes, Genomes, Genetics’ collection features content from the leading genetics experts, covering research topics such as:
‘Drosophila Muller F Elements Maintain a Distinct Set of Genomic Properties Over 40 Million Years of Evolution’ – investigating the unusual autosome, the Muller F element, of Drosophila melanogaster;
‘Dynamics of Dark-Fly Genome Under Environmental Selections’ – approaching the issue of how genes contribute to adaptive traits and traits are selected under an environment in the course of evolution;
‘Species-Level Deconvolution of Metagenome Assemblies with Hi-C–Based Contact Probability Maps’ – demonstrating how the intracellular signal of contiguity containing both intrachromosomal and interchromosomal information generated by the Hi-C method can be exploited to reconstruct the individual genomes of microbial species present within a mixed sample;
‘How to Design a Genetic Mating Scheme: A Basic Training Package for Drosophila Genetics’ – providing a training package for basic Drosophila genetics, designed to ensure that basic knowledge on all key areas is covered while reducing the time invested by trainers;
‘Molecular Phylogeography of a Human Autosomal Skin Color Locus Under Natural Selection’ – defining common haplotypes in the genomic region around SLC24A5 across diverse human populations and deducing phylogenetic relationships between them;
‘MicroRNA Regulation of Bovine Monocyte Inflammatory and Metabolic Networks in an In Vivo Infection Model’ – reporting an integrative biology approach using next-generation sequencing combined with advanced network and pathway biology methods to simultaneously profile mRNA and miRNA expression at multiple time points;
‘TheCellMap.org: A Web-Accessible Database for Visualizing and Mining the Global Yeast Genetic Interaction Network’ – reviewing TheCellMap.org, a central repository for storing and analyzing quantitative genetic interaction data produced by genome-scale Synthetic Genetic Array (SGA) experiments with the budding yeast Saccharomyces cerevisiae; or
‘Spatial Localization of Recent Ancestors for Admixed Individuals’ – exploring the limits of ancestry localization and building a map of expected localization accuracy across admixed individuals according to the location of origin within Europe of their ancestors.
This partnership between ScienceOpen and the Genetics Society of America (GSA) contextualizes the ‘G3: Genes, Genomes, Genetics’ featured collection within the broader research discovery environment on ScienceOpen for a greater scientific and social impact of genetics research. We believe this journal will be a great asset to all users interested in a range of research topics in this field – from genomic selection, to genomic prediction and evolution. Can you find what you are looking for in over 2,000 G3 articles on ScienceOpen? Let us know in the comments!