Automated Author Profile

Oiwa, Nestor N.

Department of Basic Science, Universidade Federal Fluminense, Brazil / Institute for Theoretical Physics, Heidelberg University, Germany

Current S-Index

2.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

33.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Inter-Nucleosomal Potentials from Nucleosomal Positioning Data [Research Data]

This dataset accompanies the paper "Inter-Nucleosomal Potentials from Nucleosomal Positioning Data." In this paper, a systematic ​method to develop inter-nucleosomal potentials between nucleosomes along a chromosome is focused. To this purpose, a modified Lennard-Jones potential is applied based on nucleosomal positioning data. The method is tested on the Candida albicans genome. The calculated potentials for all chromosomes for Candida albicans and their compressibility derived from potential-based simulations are included. In this dataset: "Potential01_100000.like_bed" contains the inter-nucleosomal potentials between nucleosomes for Candida albicans. Potentials are represented by four crucial parameters: parameter sigma is the scale for the modified Lennard-Jones potential; epsilon is the amplitude; delta is the exponents for the first term; and nu is the exponents for the second term. The meaning of columns are: chromosome_name, start_position, end_posiiton, section_index, sigma, epsilon, delta, nu, compressibility. “compress01_100000.out” contains the block density result for chromosome 2. The header is three “0” + the number of bins in the separation. The rest is section_index, slope, intercept + the block density result of the corresponding bin separation. "ICPC-source.tar.gz" is the source code.

Authors

  • Li, Kunhe ;
  • Oiwa, Nestor N. ;
  • Mishra, Sujeet K. ;
  • Heermann, Dieter W.
0 Citations0 Mentions88% FAIR2.2 Dataset Index
10.11588/data/h3kpeu2022

compress01_100000.out

:unav

Authors

  • Li, Kunhe ;
  • Oiwa, Nestor N. ;
  • Mishra, Sujeet K. ;
  • Heermann, Dieter W.
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.11588/data/h3kpeu/s23vmx2022

Potential01_100000.like_bed

:unav

Authors

  • Li, Kunhe ;
  • Oiwa, Nestor N. ;
  • Mishra, Sujeet K. ;
  • Heermann, Dieter W.
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.11588/data/h3kpeu/0cizo22022

ICPC-source.tar.gz

:unav

Authors

  • Li, Kunhe ;
  • Oiwa, Nestor N. ;
  • Mishra, Sujeet K. ;
  • Heermann, Dieter W.
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.11588/data/h3kpeu/t3fgfo2022