Here is a first new blog post asking, “So where can others’ work be found that has some connection with my practice?”.
Apart from already established and earlier blog references in the PH704 module to Garry Fabian Millar and elsewhere in PH702 and PHO703 to Rachel Howard a revisit is made in advance of the Assignment: Critical Review of Practice.
Here is a single image only comparison from National Geographic (Greshko, 2018):
And my earlier effort in more sombre mood:
I’ll be recreating this. The next version of this work will use my own genome. It was sequenced last year and is currently under my analysis for base-pair errors. This not something to go into too much as it gives insight into the potential for disease a look into the future. As a STEM graduate with expertise in Big Data, it is possible to interpret the science and in particular the data and start to follow scientific papers including on the topic of DNA mismatch (Stavenger, 2010).
It is clear now that the double helix is an idealised form. Due to coding errors the span of the ladder rungs changes while there is asymmetry in the strand thickness and weird folding occurs where molecules other than ACGT bases enter the sequence. There is a knotted effect.
My own connection with the National Geographic story is through working for the corporation that supported the computing for the Out of Africa project. This was an early project that traced the human genome back through eastern and western migration routes to Africa.
As blogged in an earlier post it is the same corporation that provided the infrastructure for the World Community Grid project and the reason for donating computing cycles to this from 2004 on Human Proteome Folding through to current day projects supporting computational biology research into cancer, Aids Zika virus and many more including ground water and other geographic analyses.
Greshko, M. (2018) How We’ve Tackled the Evolving Science of DNA, National Geographic.
Stavenger, J. (2010) Mapping of Switch Recombination Junctions, a Tool for Studying DNA Repair Pathways during Immunoglobulin Class Switching, ScienceDirect.