Department of Biotechnology, IIT MadrasDepartment of Biotechnology, IIT Madrasiit-madras-bioiit-madras-bioBINresearchcc-by-saOct 13, 20142014-10-13
Dataset
Weighted Genotype Networks of RNA
Datasets corresponding to the analysis of weighted genotype networks of RNA.
Datasets corresponding to the analysis of weighted genotype networks of RNA.
Download & API
10^6 RNA sequences and structuresbin
A MATLAB mat file containing one million RNA sequences and their structures.
1.6x10^5 RNA structures and their frequencybin
This file contains tab separated values of 1.6x10^5 RNA structures and the number of times they occur in a genotype space of 10^12 sequences
2.5x10^4 RNA structures and their inversely folded AU-rich sequencesbin
This MATLAB .mat file contains a cell array with two columns. The first column corresponds to a RNA structure and the second column element consists of a list of inversely folded AU-rich sequences for the RNA structure. The file has 25275 RNA structures.
2.5x10^4 RNA structures and their inversely folded sequencesbin
This MATLAB .mat file contains a cell array with two columns. The first column corresponds to a RNA structure and the second element consists of a list of inversely folded unbiased sequences for the RNA structure. The file has 25275 RNA structures.
Minimum Free Energy of RNA structures with 20% sequence GC contentbin
This MATLAB .mat file contains 1 million RNA sequences of 20% GC content, their corresponding structures and the Minimum Free Energies of the structures.
Minimum Free Energy of RNA structures with 40% sequence GC contentbin
This MATLAB .mat file contains 1 million RNA sequences of 40% GC content, their corresponding structures and the Minimum Free Energies of the structures.
Minimum Free Energy of RNA structures with 60% sequence GC contentbin
This MATLAB .mat file contains 1 million RNA sequences of 60% GC content, their corresponding structures and the Minimum Free Energies of the structures.
Minimum Free Energy of RNA structures with 80% sequence GC contentbin
This MATLAB .mat file contains 1 million RNA sequences of 80% GC content, their corresponding structures and the Minimum Free Energies of the structures.
Minimum Free Energy of RNA structures with unbiased sequence GC contentbin
This MATLAB .mat file contains 1 million normal (unbiased) RNA sequences, their corresponding structures and the Minimum Free Energies of the structures.
10^6 AU-rich RNA sequences and their structuresbin
A MATLAB .mat file containing one million AU-rich sequences (AU content greater than or equal to 80%) and their RNA structures
AU-rich RNA sequences population evolution at the rate of Nμ = 100bin
This MATLAB .mat file contains the results of simulation of population evolution of AU-rich sequences of an RNA structure at the rate of N*μ = 100. The cell array consists of evolved population (N=100) of 20 AU - rich sequences over 10 generations of evolution.
The genotype space used in the evolution was weighted using kappa = 1
AU-rich RNA sequences population evolution at the rate of Nμ = 1bin
This MATLAB .mat file contains the results of simulation of population evolution of AU-rich sequences of an RNA structure at the rate of N*μ = 1. The cell array consists of evolved population (N=10) of 20 AU - rich sequences over 100 generations of evolution.
The genotype space used in the evolution was weighted using kappa = 1
RNA sequences population evolution at the rate of Nμ = 1bin
This MATLAB .mat file contains the results of population evolution of RNA sequences of two RNA structures at the rate of Nμ = 1. Every row in this cell array consists of the evolved population(N=10) of 40 RNA sequences - 20 sequences of an RNA structure of high frequency, and 20 sequences of an RNA structure of low frequency, over 100 generations of evolution.
The two rows in the cell array correspond to the data for two different kappa values (0.5 and 1) used to weight the genotype space.
RNA sequences population evolution at the rate of Nμ = 100bin
This MATLAB .mat file contains the results of population evolution of RNA sequences of two RNA structures at the rate of Nμ = 100. Every row in this cell array consists of the evolved population(N=100) of 40 RNA sequences - 20 sequences of an RNA structure of high frequency, and 20 sequences of an RNA structure of low frequency, over 10 generations of evolution.
The three rows in the cell array correspond to the data for three different kappa values (0.5, 1 and 10) used to weight the genotype space.
Sources & license
License
- cc-by-sa