Automated Author ProfileTomoyasu, Yoshinori
0000-0001-9824-3454
Tomoyasu, Yoshinori
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 23.6 (sum of 15 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Annotation of newly-sequenced genomes frequently includes genes, but rarely covers important non-coding genomic features such as the cis -regulatory modules—e.g., enhancers and silencers—that regulate gene expression. Here, we begin to remedy this situation by developing a workflow for rapid initial annotation of insect regulatory sequences, and provide a searchable database resource with enhancer predictions for 33 genomes. Using our previously-developed SCRMshaw computational enhancer prediction method, we predict over 2.8 million regulatory sequences along with the tissues where they are expected to be active, in a set of insect species ranging over 360 million years of evolution. Extensive analysis and validation of the data provides several lines of evidence suggesting that we achieve a high true-positive rate for enhancer prediction. One, we show that our predictions target specific loci, rather than random genomic locations. Two, we predict enhancers in orthologous loci across a diverged set of species to a significantly higher degree than random expectation would allow. Three, we demonstrate that our predictions are highly enriched for regions of accessible chromatin. Four, we achieve a validation rate in excess of 70% using in vivo reporter gene assays. As we continue to annotate both new tissues and new species, our regulatory annotation resource will provide a rich source of data for the research community and will have utility for both small-scale (single gene, single species) and large-scale (many genes, many species) studies of gene regulation. In particular, the ability to search for functionally-related regulatory elements in orthologous loci should greatly facilitate studies of enhancer evolution even among distantly related species.
Authors
- Halfon, Marc S. ;
- Asma, Hasiba ;
- Tieke, Ellen ;
- Deem, Kevin D. ;
- Rahmat, Jabale ;
- Dong, Tiffany ;
- Huang, Xinbo ;
- Tomoyasu, Yoshinori
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.
No description available
Authors
- Zattara, Eduardo E. ;
- Busey, Hannah A. ;
- Linz, David M. ;
- Tomoyasu, Yoshinori ;
- Moczek, Armin P.