At last week’s ASHG meeting in Hawaii, our recently announced collaborators, RainDance Technologies, announced that they’re extending the capabilities of their Sequence Enrichment Solution.
Christopher McNary, President and Chief Executive Officer at RainDance Technologies, stated:
Now scientists can apply our Sequence Enrichment Solution to gain better understanding of how disease cells differ from normal cells, enhancing their understanding of the origins and pathways of complex diseases.
Click to read the press release “RainDance Extends Sequence Enrichment Solution Capabilities With Methyl-Seq and Ultra-Deep Resequencing Applications”
Last week our Chief Scientific Officer and co-founder of CLC bio, Bjarne Knudsen, visited Sean Eddy of HMMER fame at his lab in Virginia, USA, as part of CLC bio’s commitment to collaborate with Sean Eddy’s lab on the upcoming third - and highly anticipated - version of the HMMER algortihms.
Mr. Eddy has written an entertaining piece in his blog about the current state of HMMER 3 and his encounter with Bjarne Knudsen.
Click to read “Radio silence: Ended” at Eddy’s Cryptogenomicon blog
CSO at CLC bio, Bjarne Knudsen and Michael M. Miyamoto from the University of Florida recently wrote an article in BMC Bioinformatics.
The article illustrates how the mutation rate in a population can be efficiently estimated, even with data affected by a number of practical issues such as sequencing errors, missing haplotype information, and missing data. The premise is that sequence errors generally give rise to unique mutations only found in a single sequence. By ignoring such singletons and adjusting the coalescent based calculations accordingly, efficient estimates can be obtained while not loosing too much information.
Click to read the entire “Accurate and fast methods to estimate the population mutation rate from error prone sequences” article
You can find the answer to this question as well as other interesting facts about us and our customers and partners - all written in a very nice article by Editor-in-Chief, Kevin Davies, in the newest edition of Bio-IT World’s Magazine.
Click to read “CLC bio Satisfies Next-Gen Bioinformatics Cravings”
At ISMB in Stockholm, July 2009, Bujie Zhan et al. of Department of Genetics and Biotechnology at Aarhus University, published a poster where they have compared various de novo assembly algorithms to see which one delivered the best results to outline the most efficient de novo assembly strategy for bacterial genomes.
CLC bio’s de novo assembly algorithm was compared to edena, SSAKE, Velvet, and 454’s Newbler, and was found to give the largest contig size with Solexa data. The performance of CLC bio’s assembler was especially good, when doing hybrid assemblies of data from both 454 and Solexa instruments.
Click here to download the “Comparison of assembly strategies for high-throughput de novo sequencing of bacterial genomes” poster (80 KB) in PDF format.
