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Releases: bioinformer/GC123e

Source-Code: Triplet Codon Block Shannon Entropy (TCBShE) in terms of GC(1,2,3)% equates to Napier's Constant for Model Organisms, and Harmonically Averages to same approximately: a Penta-Clado-genic Quantitative Survey across ~14.45 million Transcripts Clustered by 1118 Species

11 Aug 06:51
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Triplet Codon Block Shannon Entropy (TCBShE) in terms of GC(1,2,3)% equates to Napier’s Constant for Model Organisms, and Harmonically Averages to same approximately: a Penta-Clado-genic Quantitative Survey across ~14.45 million Transcripts Clustered by 1118 Species

https://mathworld.wolfram.com/e.html

Significance of HM: Harmonic Mean of a Set of Entropy values: It can be Expressed as; the Ratio of "Mutual Information to the Complement of Normalized Variation of Information" ( Reference Link= https://stats.stackexchange.com/questions/393386/why-not-normalizing-mutual-information-with-harmonic-mean-of-entropies )

An Explanation of Triplet-Block Entropy concept using "Biased" Coin-Toss with Probability(P) of Heads(H) = (1/4) and P of Tails(T) = (3/4) with 2^3=8 Binary states 0=H,1=T. https://youtu.be/B3dVuP0Kzg0

BASE-paper for this Work (Source of GC-1% , GC-2% , GC-3% Datasets):= Dapeng Wang, GCevobase: an evolution-based database for GC content in eukaryotic genomes, Bioinformatics, Volume 34, Issue 12, 15 June 2018, Pages 2129–2131, https://doi.org/10.1093/bioinformatics/bty068 AND http://www.nextgenbioinformatics.org/GCevobase/

1st Author's Self-Citations in this Context and IEEE-Information Theory Society Profile of the Ongoing work= https://www.itsoc.org/profile/9590

https://github.com/bioinformer/GC123e

SOURCE-CODE: Random Sampling of TCBShE= Triplet Codon Block Shannon Entropy in terms of GC(1,2,3)% Harmonically Averages approximating to Napier's Constant: a Comprehensive Survey across 1118 Species

26 Jul 09:10
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Random Sampling of TCBShE: Triplet Codon Block Shannon Entropy in terms of GC(1,2,3)% Harmonically Averages approximating to Napier's Constant: a Comprehensive Survey across 1118 Species

https://mathworld.wolfram.com/e.html

Significance of HM: Harmonic Mean of a Set of Entropy values: It can be Expressed as; the Ratio of "Mutual Information to the Complement of Normalized Variation of Information" ( Reference Link= https://stats.stackexchange.com/questions/393386/why-not-normalizing-mutual-information-with-harmonic-mean-of-entropies )

An Explanation of Triplet-Block Entropy concept using Coin-Toss with Probability(P) of Heads(H) = (1/4) and P of Tails(T) = (3/4) with 2^3=8 Binary states 0=H,1=T. https://youtu.be/B3dVuP0Kzg0

BASE-paper for this Work (Source of GC-1% , GC-2% , GC-3% Datasets):= Dapeng Wang, GCevobase: an evolution-based database for GC content in eukaryotic genomes, Bioinformatics, Volume 34, Issue 12, 15 June 2018, Pages 2129–2131, https://doi.org/10.1093/bioinformatics/bty068 AND http://www.nextgenbioinformatics.org/GCevobase/

1st Author's Self-Citations in this Context and IEEE-Information Theory Society Profile of the Ongoing work= https://www.itsoc.org/profile/9590

GC123eHM_Triplet_Codon_Block_Shannon_Entropy_NapierConst

25 Jul 21:17
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Random Sampling of Triplet Codon Block Entropy in terms of GC(1,2,3)% Harmonically Averages approximating to Napier's Constant: a Comprehensive Survey across 1118 Species

https://mathworld.wolfram.com/e.html

Significance of HM: Harmonic Mean of a Set of Entropy values: It is a Dimensionless Quantity; being the Ratio of "Mutual Information to the
Complement of Normalized Variation of Information" ( Reference Link=
https://stats.stackexchange.com/questions/393386/why-not-normalizing-mutual-information-with-harmonic-mean-of-entropies )

BASE-paper for this Work (Source of GC-1% , GC-2$ , GC-3% Datasets):=
Dapeng Wang, GCevobase: an evolution-based database for GC content in eukaryotic genomes, Bioinformatics, Volume 34, Issue 12, 15 June 2018, Pages 2129–2131, https://doi.org/10.1093/bioinformatics/bty068
http://www.nextgenbioinformatics.org/GCevobase/

My Self-Citations in this Context and IEEE-Information Theory Society Profile of the Ongoing work=
https://www.itsoc.org/profile/9590