Large-scale analysis of biological analytes allows not only to study individual entities; it also allows you to study their relationships and / or interactions in a single experiment. New hypotheses can emerge after unguided hypothesis experiments and valuable information can be added if the experimental design involves integrative procedures. Backed by data-driven results, the results give us a more complex view of biological systems.
As reproduction is a basic element of life and defines the existence of organisms, their complexity requires this integration to understand the natural phenomenon. We encourage you to present your latest results in reproductive biology, using large-scale analysis, omics strategies (proteomics, genomics, metabolomics, transcriptomics). as well as bioinformatics procedures, predictions, and models to this special issue called "Omics in Reproductive Biology."
All article types are welcome.
Large-scale analysis of biological analytes allows not only to study individual entities; it also allows you to study their relationships and / or interactions in a single experiment. New hypotheses can emerge after unguided hypothesis experiments and valuable information can be added if the experimental design involves integrative procedures. Backed by data-driven results, the results give us a more complex view of biological systems.
As reproduction is a basic element of life and defines the existence of organisms, their complexity requires this integration to understand the natural phenomenon. We encourage you to present your latest results in reproductive biology, using large-scale analysis, omics strategies (proteomics, genomics, metabolomics, transcriptomics). as well as bioinformatics procedures, predictions, and models to this special issue called "Omics in Reproductive Biology."
All article types are welcome.