Question: What Is Going To Be The Impact Of U$1000 Genome ?
7
gravatar for Raony Guimaraes
8.7 years ago by
Raony Guimaraes100 wrote:

Sooner than later U$1000 genomes has arrived to our lifes! What is going to be the impact of this to the field of Bioinformatics ? I just would like to hear some comments about this news from people in here. Does anyone know more about the technology ?

Source: http://news.jornal.us/article-6108.Ion-Proton-DNA-Sequencer-Decodes-a-Human-Genome-in-One-Day-for-1000.html

genome ion-torrent • 1.9k views
ADD COMMENTlink modified 4.8 years ago by Biostar ♦♦ 20 • written 8.7 years ago by Raony Guimaraes100
6

'More data!' :)

ADD REPLYlink written 8.7 years ago by Daniel Swan13k
1

-> more work opportunities for bioinformaticians :-)

ADD REPLYlink written 8.7 years ago by Mikael Huss4.7k
13
gravatar for Gjain
8.7 years ago by
Gjain5.5k
Munich, Germany
Gjain5.5k wrote:
ADD COMMENTlink modified 8.7 years ago • written 8.7 years ago by Gjain5.5k

yeah I posted about this morning in another post. It's exciting and going to open new doors for personalized target of diseases esp the rare diseases.

ADD REPLYlink modified 9 months ago by RamRS30k • written 8.7 years ago by Gjain5.5k
5
gravatar for Larry_Parnell
8.7 years ago by
Larry_Parnell16k
Boston, MA USA
Larry_Parnell16k wrote:

One the one hand, a cheap genome will harden the views of many regarding data acquisition, patient rights, accessibility and patents. For example, many will express fear and be against any sequencing, while others will advocate the routine use of genome sequencing at various life stages, especially at birth and upon disease diagnosis. We know these positions now, but many more individuals will express themselves and in increasingly louder, provocative and often ill-informed language.

At this moment, we are transitioning from a point where the obstacle is at data acquisition (genome sequencing for all) to data interpretation as the obstacle to interpreting the health consequences of those data. Like a good experiment, many more questions will arise from the data than are answered by it and its immediate interpretation. We'll want to look at gene-gene (epistasis) and gene-environment interactions. This will necessitate some deep phenotyping. There will certainly be calls for deep expression profiling (mRNAs and microRNAs) and epigenetic data to be able to fully interpret the expression of the genome. In other words, the data deluge of whole genome data for all persons will just be the first wave.

Third, data storage and manipulation/analysis issues will grow. This, too, is nothing new, but may, among other things, draw big computer companies more into the genome camp. As electronic health records, full genome sequence data and preliminary results from genomic experiments gain wider acceptance, activity (and hopefully funding with it) to translate and integrate these important data will move to the forefront.

ADD COMMENTlink written 8.7 years ago by Larry_Parnell16k
3
gravatar for Casey Bergman
8.7 years ago by
Casey Bergman18k
Athens, GA, USA
Casey Bergman18k wrote:

Population genetics will move more centrally in the heart of bioinformatics research and no longer be:

"a recondite field that will never be of great interest except to a small group of specialists"

that it has been for the last 100 years: http://www.nytimes.com/2012/01/11/science/james-f-crow-population-genetics-pioneer-dies-at-95.html?src=tp

ADD COMMENTlink modified 12 months ago by RamRS30k • written 8.7 years ago by Casey Bergman18k
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