With the recent launch of BaseMount, access to your NGS data has never been so convenient. This early access release is available for all Linux-based operating systems and utilizes a command line interface (CLI) to access personal Projects, Samples, Runs, and AppResults within your BaseSpace account. Below are some simple steps to effectively transform your RNA-Seq data straight from our very own RNA Express app into a Normalized Count Plot, MA-plot, and Principal Component Analysis (PCA) plot. We are going to be using the popular Bioconductor DESeq2 package to construct the plots and the example is a differential expression analysis comparing two tissue samples: Human Brain Reference RNA (HBRR) and Universal Human Reference RNA (UHRR). Follow these steps below to get started:
We’re excited to announce support for versions of BaseSpace apps. The App Store has been very successful, and with this success comes the need to publish improved versions of apps.
Every app will now have a single entry in the App Store, and you may choose the version on each App Description page.
Each app version will have two new sections on the App Description page. The “Release Notes” section will list the changes since the last version. And the optional “What’s New” section can contain the latest updates about a version, such as bugs discovered since publication or changes to the version’s price.
It’s important that once app versions are published, they can no longer be changed. This way apps can be used to analyze many samples in exactly the same way.
We’ve added some features to ensure that samples can be analyzed consistently during experiments. If you navigate to the App Description page of an app you’ve launched before, your default view will be the version that you launched the last time. Also, once an app version is published, it can no longer be changed by developers. Bug fixes and improvements can be added in new versions.
We’ll let you know if a new version is available. If you are on the App Description page of an older version, you will be notified that a new version is available.
App developers will notice some nice improvements to our developer portal, which include a new page to create and view app versions.
We hope you find these changes useful, and we all look forward to improved versions of apps!
We are excited to be part of the Bio-IT World Conference & Expo 2015 starting today at the Seaport World Trade Center in Boston, MA. Representatives from the BaseSpace and NextBio teams will be at the conference, and are looking forward to engage with Bio-IT attendees. Stop by our booth #129, or connect through Twitter (@BaseSpace) to discuss our portfolio of cloud and on-site genomic storage, analysis and interpretation solutions: BaseSpace cloud, BaseSpace On-site, NextBio Research, & NextBio Clinical.
We will have an in-booth demo of the NextBio Clinical platform at 10.05am (as part of the ‘Best of Show’ program).
Plus, join us for our lunchtime presentations on Wednesday, April 22.
- Track 5 (12:40pm): “Sample Aggregation and Analytics in the Post-$1,000 Genome Era” 12:40 PM presented by John Shon, VP, Bioinformatics & Data Sciences
- Track 9 (1:10 PM): “Enterprise Informatics: A High-Performance Application Development Platform for Collaborative Genomics Research” presented by Paul Flook, Ph.D., Sr. Director, Enterprise Informatics
See you all in Boston!
Hello. Aaron from AB SCIEX here, and we are adding Proteomics to BaseSpace. I bet you weren’t expecting that! But about a year ago we started working with the very nice people at Illumina and together we began to map out a grand vision of how we could better enable systems biology/translational medicine/functional genomics (did I miss one?). Both teams recognized that to really help our customers make revolutionary discoveries in biological research we needed to expand beyond our individual core competencies. For too long the omics technologies had been compartmentalized, and that really isn’t how it works in living cells.
In parallel, mass spectrometry-based proteomics was growing up. With the new AB SCIEX next-gen proteomics technology (a.k.a. SWATH Proteomics), we can quantify thousands of proteins in many, many samples reproducibly for the first time, so integration with genomics and transcriptomics would be more meaningful.
I am proud to announce the launch of OneOmics – an exclusive partnership to bring together AB SCIEX next-gen proteomics (NGP) and Illumina next-generation sequencing (NGS) tools in the BaseSpace cloud computing environment. There are four BaseSpace Apps in the AB SCIEX next-gen proteomics toolkit:
• Protein Expression Extractor – for processing raw mass spectrometry data
• Protein Expression Assembler – for protein fold-change analysis
• Protein Expression Browser – to visualize results in biological context
• Protein Expression Analytics – for data quality review
The Protein Expression Extractor and Assembler have some really fancy algorithms generating the results, and the high-powered distributed computing in BaseSpace delivers results up to 50x faster than on the usual high-end desktop computer (from 3 days down to a couple of hours!). Also the ‘don’t try this at home’ paradigm normally associated with mass spec proteomics is a thing of the past, and you don’t have to be a bioinformatics expert to process the data. It’s virtually parameter free. I told you the algorithms are fancy.
But the Protein Expression Browser is the really cool App. There’s not a mass spectrum in sight, and you don’t have to worry about any of the usual impenetrable jargon associated with mass spec proteomics. Just great visuals of showing your results in biological context.
Having proteomics and genomics data in the same place/cloud is a huge step forward in itself, but the AB SCIEX and Illumina teams wanted to take this a step further and integrate NGP and NGS. One of the main benefits of using BaseSpace is that there is already a community of bioinformatics developers publishing new apps, and we are really excited about the applications that our collaborators at the Institute for Systems Biology (ISB), Yale, NextBio and Advaita have been developing. Rob Moritz and his team at ISB have developed the SWATHAtlas Ion Library Generator App that can generate standard and modified SWATH Proteomics Libraries as part of their SWATHAtlas project. This means that researchers have easy access to human, yeast and MtB libraries currently, but more are on the way.
There are obviously many ways to combine genomics information with proteomics information. You could simply do your gene expression with Illumina’s TopHat, Cufflinks or RNA Express Apps, and then your protein expression with AB SCIEX’s next-gen proteomics toolkit, and then integrate the results (parallel analysis). But Chris Colangelo and Rob Kitchen at Yale University are developing the RNA-Seq Translator App that takes the output from Cufflinks and converts it to protein FASTA files. That App will be available soon. These files can then be converted into an NGP library and be used as the basis for proteomics analysis (serial analysis). The transcriptomics and proteomics results can be loaded into Advaita’s iPathwayGuide, or mapped onto the genome using NextBio, and differential transcript or gene expression can be compared with differential protein expression.
I hope you are as excited about the possibilities as we are here at AB SCIEX and Illumina. This is only the beginning…
Built from the industry’s most widely-adopted sample prep workflow, the new kits bring the highest data quality with base-pair resolution. This provides a detailed view of somatic and de novo mutations and supports accurate identification of causative variants, critical for cancer and genetic disease studies.
Both DNA Sample Prep kits improve coverage uniformity, decrease gaps, and reduce library bias. TruSeq DNA PCR-Free is ideal for studies where DNA input is not limited and premier data quality is desired. Any PCR-induced bias is eliminated uncovering gaps across difficult genomic stretches including GC-rich, promoters, and repetitive regions. TruSeq Nano DNA is ideal for studies where DNA input is limited (to 100 ng) but superior data quality is still desired. Both kits can also be used for virtually any sequencing application, including non-human genomes, from the smallest to the most complex.
See the data for yourself and discover how TruSeq Nano and PCR-Free can improve your sequencing results.
• TruSeq DNA library
• TruSeq DNA PCR-Free 350 bp library
• TruSeq DNA PCR-Free 550 bp library
• TruSeq Nano DNA 350 bp library
• TruSeq Nano DNA 550 bp library