Literature DB >> 21821053

On parameters of the human genome.

Wentian Li1.   

Abstract

There are mathematical constants that describe universal relationship between variables, and physical/chemical constants that are invariant measurements of physical quantities. In a similar spirit, we have collected a set of parameters that characterize the human genome. Some parameters have a constant value for everybody's genome, others vary within a limited range. The following nine human genome parameters are discussed here, number of bases (genome size), number of chromosomes (karyotype), number of protein-coding gene loci, number of transcription factors, guanine-cytosine (GC) content, number of GC-rich gene-rich isochores, density of polymorphic sites, number of newly generated deleterious mutations in one generation, and number of meiotic crossovers. Comparative genomics and theoretical predictions of some parameters are discussed and reviewed. This collection only represents a beginning of compiling a more comprehensive list of human genome parameters, and knowing these parameter values is an important part in understanding human evolution.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21821053     DOI: 10.1016/j.jtbi.2011.07.021

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

1.  Joint Estimates of Heterozygosity and Runs of Homozygosity for Modern and Ancient Samples.

Authors:  Gabriel Renaud; Kristian Hanghøj; Thorfinn Sand Korneliussen; Eske Willerslev; Ludovic Orlando
Journal:  Genetics       Date:  2019-05-14       Impact factor: 4.562

2.  Noether's Theorem as a Metaphor for Chargaff's 2nd Parity Rule in Genomics.

Authors:  Yannis Almirantis; Astero Provata; Wentian Li
Journal:  J Mol Evol       Date:  2022-06-15       Impact factor: 3.973

Review 3.  Beyond standard pipeline and p < 0.05 in pathway enrichment analyses.

Authors:  Wentian Li; Andrew Shih; Yun Freudenberg-Hua; Wen Fury; Yaning Yang
Journal:  Comput Biol Chem       Date:  2021-02-12       Impact factor: 3.737

4.  IsoPlotter(+): A Tool for Studying the Compositional Architecture of Genomes.

Authors:  Eran Elhaik; Dan Graur
Journal:  ISRN Bioinform       Date:  2013-04-18

5.  Codon Usage and Splicing Jointly Influence mRNA Localization.

Authors:  Christine Mordstein; Rosina Savisaar; Robert S Young; Jeanne Bazile; Lana Talmane; Juliet Luft; Michael Liss; Martin S Taylor; Laurence D Hurst; Grzegorz Kudla
Journal:  Cell Syst       Date:  2020-04-09       Impact factor: 10.304

  5 in total

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