Here we present the Frontiers in Genetics ‘Emerging Talents in’ article collection. A series dedicated to highlighting the emerging talent of student researchers within the field of Computational Genomics.
Across the world students are undertaking key research as part of their education in Computational Genomics, however, most of this research is not communicated to the wider audience. We recognize that this is because many student researchers find the thought of peer-review daunting. At Frontiers, peer-review is considered a collaborative process, and our interactive peer-review is tailored to provide hands-on guidance and constructive feedback to researchers. Our Topic Editors are committed to the development of emerging talents and want to see student researchers strive for success at publications.
The research presented here highlights the quality and diversity of student researchers across the field of Computational Genomics. We welcome contributions in the form of original research, review, mini review, case report, hypothesis and theory, perspective, both experimental and computational studies that cover, but are not limited to, following themes:
· Computational analysis of large multidimensional numeric datasets, including gene-expression; gene and protein interaction data; metabolite and small molecule profiling;
· Prediction of the function of novel domains, motifs, genes and proteins using omics data;
· Computational analysis of nucleotide or amino acid sequences and and structures from genomic data;
· Computational analysis and phylogenetic approaches to biological questions;
· Computational analysis of evolution of all life forms;
· Mathematical or statistical modeling of all of the above;
· Algorithms which provide meaningful insights into biology from the analysis of genomic data
This Research Topic will help to identify emerging leaders and allow the community to follow the aspiring careers of our emerging, talented researchers.
Please note: To be considered for this collection, the first and/or collaborating first, or second author will be a registered undergraduate or graduate student at time of submission.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in the mission statement. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review
Here we present the Frontiers in Genetics ‘Emerging Talents in’ article collection. A series dedicated to highlighting the emerging talent of student researchers within the field of Computational Genomics.
Across the world students are undertaking key research as part of their education in Computational Genomics, however, most of this research is not communicated to the wider audience. We recognize that this is because many student researchers find the thought of peer-review daunting. At Frontiers, peer-review is considered a collaborative process, and our interactive peer-review is tailored to provide hands-on guidance and constructive feedback to researchers. Our Topic Editors are committed to the development of emerging talents and want to see student researchers strive for success at publications.
The research presented here highlights the quality and diversity of student researchers across the field of Computational Genomics. We welcome contributions in the form of original research, review, mini review, case report, hypothesis and theory, perspective, both experimental and computational studies that cover, but are not limited to, following themes:
· Computational analysis of large multidimensional numeric datasets, including gene-expression; gene and protein interaction data; metabolite and small molecule profiling;
· Prediction of the function of novel domains, motifs, genes and proteins using omics data;
· Computational analysis of nucleotide or amino acid sequences and and structures from genomic data;
· Computational analysis and phylogenetic approaches to biological questions;
· Computational analysis of evolution of all life forms;
· Mathematical or statistical modeling of all of the above;
· Algorithms which provide meaningful insights into biology from the analysis of genomic data
This Research Topic will help to identify emerging leaders and allow the community to follow the aspiring careers of our emerging, talented researchers.
Please note: To be considered for this collection, the first and/or collaborating first, or second author will be a registered undergraduate or graduate student at time of submission.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in the mission statement. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review
