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Genomics

Category archives for Genomics

In our series on why $1000 genomes cost $2000, I raised the issue that the $1000 genome is a value based on simplistic calculations that do not account for the costs of confirming the results. Next, I discussed how errors are a natural occurrence of the many processing steps required to sequence DNA and why…

Could you repeat that please?

Previously, I introduced the idea that the $1000 genome has not been achieved because it is defined in simplistic terms that ignore many aspects of data completeness and verification. In that analysis, I cited a recent perspective by Robasky, Lewis, and Church [1] to present concepts related to the need to verify results and the…

$1000 Genomes for $2000

Getting an accurate genome sequence requires that you collect the data at least twice argue Robasky, Lewis, and Church in their recent opinion piece in Nat. Rev. Genetics [1]. The DNA sequencing world kicked off 2014 with an audacious start. Andrew Pollack ran an article in the New York Times implying that 100,000 genomes will…

Bio Databases 2014

By @finchtalk (Todd Smith) In 2014 and beyond Finchtalk will be contributing to Digitalbio’s blog at this site. We kick off 2014 with Finchtalk’s traditional post on the annual database issue from Nucleic Acids Research (NAR). Biological data and databases are ever expanding. This year was no exception as the number of databases tracked by…

I’ve heard you have to sing loud if you want to change the world. Cloning DNA – lyrics by Sandra Porter, sung to the tune of Surfin’ USA C ………………G7………………C If everybody had a plasmid, across the U.S.A., C ………………G7………………C then everybody’d be cloning, with their DNA …………………………..F You’d see them wearing their goggles. ………………..…

In simple Mendelian genetics, a single change in one gene can produce a large change in mortality. The National Human Genome Research Institute (NHGRI) will be funding genomics studies on Mendelian traits using a similar strategy. NHGRI will fund a small number of centers, dominant centers you might say, and look for large changes. The…

For the past few days I’ve been avidly following Daniel MacArthur’s tweets from the Personal Genome Conference at Cold Spring Harbor(@dgmacarthur #cshlpg). The Personal Genomics tweets aren’t just interesting because of the science, they’re interesting because MacArthur and others have started to take on the conventional dogma in genetic ethics. For years, there has been…

This morning I attended a “bloggers-only” conference call with Dr. Eric Green and the folks from the NIH Human Genome Research Institute (NHGRI) to hear about NHGRI’s new strategic plan. The new plan represents a shift away from viewing the genome through a lens marked “for research use only” and towards the goal of making…

I had the good fortune on Thursday to hear a fascinating talk on deep transcriptome analysis by Chris Mason, Assistant Professor, at the Institute for Computational Biomedicine at Cornell University.  Several intriguing observations were presented during the talk.  I’ll present the key points first and then discuss the data. These data concern the human transcriptome,…

One of my hobbies lately has been to get either RNA seq or microarray data from GEO and do quick analyses. Not only is this fun, I can find good examples to use for teaching biology. One of these fun examples comes from some Arabidopsis data. In this experiment, some poor little seedlings were taken…