An international group of researchers presents here the draft sequence of the M. truncatula euchromatin. The studies are based on combined data sets from BAC assembly and Illumina shotgun sequence, in total capturing ~94% of all M. truncatula genes.
Medicago truncatula is a long-established model for legume biology studies and analysis of the genome sequence can provide valuable information.
Methods of the studies included DNA sequencing, and assembly of sequencing reads were partly done using CLC bio.
If you are interested in learning more about this research, you can read the full article here
The recent issue of Bio-IT World Magazine has a feature on “The Road to the $1,000 Genome” coinciding with Editor in Chief, Kevin Davies‘, new book of a similar title. There’s a lot of very interesting articles on a wide range of topics that relates to the subject.
Included in all the articles, there’s also a nice piece that features CLC bio:
“Our focus is on high-throughput sequencing,” says Lasse Görlitz, head of global marketing and PR. “We like to think of ourselves as the only commercial shop which gets customers through a sequencing project of analyzing huge datasets. It’s an intelligent approach to accessing your data; instead of juggling datasets from hard disk to hard disk, everything’s centralized, which removes a lot of overhead from your network.”
This is from the “Next-Gen Sequencing Software: The Present and the Future” article, which you can find here.
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
Ed Yong at his Not Exactly Rocket Science blog wrote…
Julie Dunning-Hotopp from the J. Craig Venter Institute and Michael Clark from the University of Rochester have found a drastic strategy used by Wolbachia to preserve its own immortality - inserting its entire genome wholesale into that of another living thing.
Click here to read the exciting article.
In the latest edition of Nature, Technology Editor, Nathan Blow, PhD, published a Technology Feature on how Next Generation Sequencing is changing gene-expression profiling from analog to digital methods.
Our Director of Scientific Solutions, Dr. Roald Forsberg, was interviewed for the article and shares the vision behind our focus within Gene Expression Analysis - both digital and analog.
I recommend reading the feature, which is really thorough in describing the change from analog to digital gene-expression. You can read it here:
Transcriptomics: The digital generation
