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Challenges to the Common Dogma

Authors: Jun Yu;

Challenges to the Common Dogma

Abstract

Some 15 years ago, Gane (now Dr. Gane Ka-Shu Wong, Professor and iCORE Chair in Biosystems Informatics, University of Alberta, Canada) and I were staring at a set of plots and scratching our heads, wondering why there was a negative GC-content gradient when we aligned human transcripts from 5′ to 3′ to the genome. Until we had published several papers on other more interesting issues based on analyses of human genome sequences and variations [1], [2], [3] and found the same phenomenon from the rice genes a few years later [4], [5], had we realized the importance of this nearly universal feature albeit variable from bacteria to human [6]. Thinking along the line, we also did another exploratory experiment at University of Washington, taking the advantage of the Environmental Genome Project supported by NIH’s National Institute of Environmental Health Sciences, to re-sequence a couple hundred genes, of course including some interesting introns, especially those that are small in size (a median of 78 bp; also called minimal intron). The effort led to a realization of natural selection on functional sequence elements [7] in addition to just protein-coding sequences that can be evaluated with different methods [8], [9], [10].

Keywords

Base Composition, Genome, Genome, Human, Exons, Biochemistry, Introns, Computational Mathematics, Mutation, Genetics, Commentary, Animals, Humans, Transcriptome, Molecular Biology, Genome, Plant

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
Green
Published in a Diamond OA journal