Blog Comments

Kinetica Online is pleased to provide direct links to commentaries from our senior editor Dr. Steven Pelech has posted on other blogs sites. Most of these comments appear on the GenomeWeb Daily Scan website, which in turn highlight interesting blogs that have been posted at numerous sites in the blogosphere since the beginning of 2010. A wide variety of topical subjects are covered ranging from the latest scientific breakthroughs, research trends, politics and career advice. The original blogs and Dr. Pelech’s comments are summarized here under the title of the original blog. Should viewers wish to add to these discussions, they should add their comments at the original blog sites.

The views expressed by Dr. Pelech do not necessarily reflect those of the other management and staff at Kinexus Bioinformatics Corporation. However, we wish to encourage healthy debate that might spur improvements in how biomedical research is supported and conducted.

Bioinformatics

Small Prize, Big Question

Blogger Anthony Goldbloom at Kaggie has offered a modest $100 award to the person who gives the best short answer to the question: "What has bioinformatics ever done for us?" S. Pelech, who did not win the prize, responds: "No Bioinformatics = No gene sequencing analysis = No genetic engineering = No biotechnology industry = No commercial recombinant protein, peptide or oligonucleotide production = No molecular diagnostics + therapeutics = No personalized medicine. Read More...

Cloudy, With a Chance of (Data) Showers

Adina Mangubat, CEO of Spiral Genetics, wrote in Xconomy that the $1,000 genome won't do any good for science if researchers can't interpret it, and she points to a need to continue aggressive development of bioinformatics software that works in a cloud environment. S. Pelech comments that this is only part of the solution, and suggests that greater emphasis should be directed towards the collection and consolidation of large data sets from high throughput genomics, proteomics and metabolomics measurements of clinical specimens, and the development of predictive biochemistry algorithms that can efficiently interrogate this meta-data. Read More...

The Changing Roles of 'The Sequencers'

Kelly Rae Chi at Nature noted that as the DNA sequencing process becomes more and more automated, the analysis of the data is becoming more challenging and requires increasing bioinformatics expertise. S. Pelech argues that while it is desirable to have in-house programmers to help analyze data, it is necessary to train more graduate students and post-doctoral fellows with a much deeper and broader understanding of biochemistry, systems and molecular biology than what is typically offered today. Read More...