麻豆传媒AV

Biography

POLISH Airforce and PRAHARSHIT Sharma Deserve (and Reserve) NOBEL Prize for Optimizing Khorana-Nirenberg-Holley Genetic Code that won 1968 Nobel Physiology/Medicine---

My PhD Research Proposal at the Intersection of Bioinformatics and Information Theory---

Praharshit Sharma. (2021, September 22). My PhD research proposal: An Integrated Analysis Of DiCodon Usage Bias (DCUB) and Epitope- Mapping (EM) across Broad LCR/ CBZ Spectrum Accommodated By HyperProteoGenome. Zenodo.

Sharma P. BIG DATA genetic code [version 1; not peer reviewed]. F1000Research 2016, 5:171 (slides) ()听听


Achimowicz, J., Kazimierski, K., & Wojcik, K. (1981). Possibility of genetic coding of amino acid sequences by coherent electronic states in nucleotide chains. Physiological chemistry and physics, 13(2), 171鈥173. PMID: 7280057

鈥淪TATISTICAL CONSTRAINT ON ANISOU DATA FROM RCSB-PDB WITH SIGNIFICANT CORRELATIONS鈥澨

Praharshit Sharma, & Abhishek Kumar. (2020). Deviation from Ideal Chargaff's 2nd Parity Rule Characterizes the Lower, Upper Bounds of GC% Content with Optimized Binitization of cDNA Sequences, Based on Block Shannon Entropy 鈥 Justifying Wobble Hypothesis (IOB_PHD.1). Zenodo.



Kanchinadham SPS. Max. Proteome Entropy and CMBR [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):196 (slides) ()

Praharshit Sharma, et. al. (2021). PRE-PRINT: Triplet Codon Block Shannon Entropy (TCBShE) in terms of GC(1,2,3)% equates to Napier Constant (e) for Model Organisms, and Harmonically Averages to same approximately: a Penta-Clado-genic Quantitative Survey across ~14.45 million Transcripts Grouped by 1118 Species (Pre-Print_Stage). Zenodo.

Cite as

Praharshit Sharma. (2023). Automaton Factorization ( Auto_Fctz) 鈥 An Important Computational Equivalence of the HyperProteoGenomic Equation (HPG) pertaining to Big Data Genetic Code (BDGC), possessing Key implications in Multi-OMICS.

Contact Information

Looking forward to hearing from you.

Sincerely yours,

Praharshit Sharma

+91 799 515 8734

(0091) 93 511 755 63

Research interests
Coding techniques
Coding theory
Communication networks
Communications
Complexity and cryptography
Compressed sensing
Detection and estimation
Pattern recognition
Quantum information theory
Sequences
Shannon theory
Signal processing
Source coding
Statistical learning and inference