Automated Author ProfileSingh, Sadhana
Singh, Sadhana
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: 1.1 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1: Table S1 Putative NAC family genes identified in chickpea (72), pigeonpea (96) and groundnut (166). Table S2 Details of well-known NAC genes from model and crop plants. Table S3 Summary of conserved motifs for chickpea, pigeonpea, and groundnut NAC genes. Table S4 Detailed analysis of conserved motifs for chickpea, pigeonpea and groundnut NAC genes. Table S5 Predicted promoter elements for stress-responsive chickpea, pigeonpea and groundnut NAC genes. Table S6 Possible matches of chickpea, pigeonpea, and groundnut stress-responsive NAC protein sequences with Arabidopsis proteins. Table S7 STRING analysis for protein-protein interaction analysis of stress-responsive NACs from SAT legumes. Table S8 Corresponding transcript ids of groundnut with Arachis hypogaea gene expression atlas (AhGEA). Table S9 List of NAC-specific primers used for qRT-PCR analysis in selected legumes.
Authors
- Singh, Sadhana ;
- Himabindu Kudapa ;
- Vanika Garg ;
- Varshney, Rajeev K.
Additional file 1: Table S1 Putative NAC family genes identified in chickpea (72), pigeonpea (96) and groundnut (166). Table S2 Details of well-known NAC genes from model and crop plants. Table S3 Summary of conserved motifs for chickpea, pigeonpea, and groundnut NAC genes. Table S4 Detailed analysis of conserved motifs for chickpea, pigeonpea and groundnut NAC genes. Table S5 Predicted promoter elements for stress-responsive chickpea, pigeonpea and groundnut NAC genes. Table S6 Possible matches of chickpea, pigeonpea, and groundnut stress-responsive NAC protein sequences with Arabidopsis proteins. Table S7 STRING analysis for protein-protein interaction analysis of stress-responsive NACs from SAT legumes. Table S8 Corresponding transcript ids of groundnut with Arachis hypogaea gene expression atlas (AhGEA). Table S9 List of NAC-specific primers used for qRT-PCR analysis in selected legumes.
Authors
- Singh, Sadhana ;
- Himabindu Kudapa ;
- Vanika Garg ;
- Varshney, Rajeev K.
Additional file 2: Fig. S1 Prediction of stress-responsive Ca_NAC genes based on phylogenetic analysis using MEGA7.0. A total of 107 protein sequences were used which included 72 from chickpea and 43 well-known stress-responsive NAC genes from Arabidopsis thaliana, Oryza sativa, Medicago truncatula and Glycine max. Bootstrap values are displayed next to the branch nodes. Fig. S2 Prediction of stress-responsive CcL_NAC genes based on phylogenetic analysis using MEGA7.0. A total of 139 protein sequences were used which included 96 from pigeonpea and 43 well-known stress-related NAC genes from Arabidopsis thaliana, Oryza sativa, Medicago truncatula and Glycine max. Bootstrap values are displayed next to the branch nodes. Fig. S3 Prediction of stress-responsive Ah_NAC genes based on phylogenetic analysis using MEGA7.0. A total of 209 protein sequences were used which included 166 from groundnut and 43 well-known stress-related NAC genes from Arabidopsis thaliana, Oryza sativa, Medicago truncatula and Glycine max. Bootstrap values are displayed next to the branch nodes. Fig. S4 Representation of protein-protein interactions among predicted stress-responsive chickpea, pigeonpea, and groundnut proteins using STRING database v11.0.
Authors
- Singh, Sadhana ;
- Himabindu Kudapa ;
- Vanika Garg ;
- Varshney, Rajeev K.
Additional file 2: Fig. S1 Prediction of stress-responsive Ca_NAC genes based on phylogenetic analysis using MEGA7.0. A total of 107 protein sequences were used which included 72 from chickpea and 43 well-known stress-responsive NAC genes from Arabidopsis thaliana, Oryza sativa, Medicago truncatula and Glycine max. Bootstrap values are displayed next to the branch nodes. Fig. S2 Prediction of stress-responsive CcL_NAC genes based on phylogenetic analysis using MEGA7.0. A total of 139 protein sequences were used which included 96 from pigeonpea and 43 well-known stress-related NAC genes from Arabidopsis thaliana, Oryza sativa, Medicago truncatula and Glycine max. Bootstrap values are displayed next to the branch nodes. Fig. S3 Prediction of stress-responsive Ah_NAC genes based on phylogenetic analysis using MEGA7.0. A total of 209 protein sequences were used which included 166 from groundnut and 43 well-known stress-related NAC genes from Arabidopsis thaliana, Oryza sativa, Medicago truncatula and Glycine max. Bootstrap values are displayed next to the branch nodes. Fig. S4 Representation of protein-protein interactions among predicted stress-responsive chickpea, pigeonpea, and groundnut proteins using STRING database v11.0.
Authors
- Singh, Sadhana ;
- Himabindu Kudapa ;
- Vanika Garg ;
- Varshney, Rajeev K.