New Results
Analysis of the optimality of the Standard Genetic Code
Balaji Kumar, Supreet Saini
doi: https://doi.org/10.1101/032748
Balaji Kumar
Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai - 400 076, India
Supreet Saini
Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai - 400 076, India
Article usage
Posted November 24, 2015.
Analysis of the optimality of the Standard Genetic Code
Balaji Kumar, Supreet Saini
bioRxiv 032748; doi: https://doi.org/10.1101/032748
Subject Area
Subject Areas
- Biochemistry (11718)
- Bioengineering (8724)
- Bioinformatics (29132)
- Biophysics (14936)
- Cancer Biology (12051)
- Cell Biology (17360)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14146)
- Epidemiology (2067)
- Evolutionary Biology (18269)
- Genetics (12223)
- Genomics (16768)
- Immunology (11844)
- Microbiology (28016)
- Molecular Biology (11560)
- Neuroscience (60822)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10401)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)