We have had our upcoming de novo assembly algorithm in internal Alpha for some time now, and have just released an updated technical note with benchmarks from the Alpha 2 version, which is the version we’re currently running.
Impressive benchmarks
These new benchmarks are quite impressive: De novo assembly of a data set with 38 fold coverage of the human genome, completed in only 7 hours on a single computer, while also improving the overall quality!
Click to download the PDF-file with benchmarks on the Alpha 2 version of our upcoming de novo assembly algorithm
Interested in trying this de novo assembler yourself?
Hopefully we can have the beta version out for public testing before Christmas - stay tuned! If you’re interested in more information, you can sign up here and get an invitation, once it’s released: Click to sign up for a beta trial of our de novo assembler
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
We have just released a scientific white paper which confirms, that, in benchmarking tests, our new algorithm for assembly of Next Generation Sequencing data is indeed fast. Not only is our algorithm fast, but it also provides a better quality of the results, compared to other algorithms benchmarked in the white paper.
Assistant Professor at Rutgers University, Dr. Todd P. Michael, states,
The speed of CLC bio’s new algorithm for reference assembly of Next Generation Sequencing data raises the bar to a level currently unmatched by any competitor. When CLC bio continues this impressive rate of development, and eventually also handles SOLiD’s Color Space analysis in the same convincing manner, this could easily become a de facto tool for scientists working with Next Generation Sequencing analysis.
The white paper is free to download for everyone at www.clccell.com/ngs
You can read the entire press release by clicking here
I am happy to announce that we have just released version 1.0 of our solution for analyzing and visualizing Next Generation Sequencing data: CLC Genomics Workbench
It includes user-friendly, high quality, high speed reference assembly and de novo assembly of Solexa, SOLiD, 454, and Helicos sequencing data, to name a few key features.
Here you can read a lot more and see a few benchmarks:
http://www.clcbio.com/genomics
Everyone here have worked really hard to make this happen and we now look forward to start coding up new features and functionalities for the next version of the software.
