BaseSpace® Clarity LIMS integration with NovaSeq™ Series Instruments

Despite advances in sequencing technology, conducting studies from an informatics perspective can still be challenging. Managing, analyzing, and interpreting the large volume of data generated from genomic studies calls for a systematic, standardized, and pipeline-centric approach.1

To accommodate this type of approach, we have integrated BaseSpace Clarity LIMS and the NovaSeq Series instruments. The integration helps expedite genomic workflows and can potentially reduce human error inherent when handling and managing samples in a laboratory.

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Singling out solutions for single-cell analysis

To date, most of what we know about our genome comes from studying populations of cells. Although few would argue with how far we have come to understand our genome, many researchers now realize that it may be just as important to fully examine the heterogeneity that exists within the population of cells. Evidence suggests that bulk sequencing methods can mask the contribution of individual cells. As a result, many researchers are turning to an evolving technique: single-cell sequencing.

Pioneered in the 1990s by James Eberwine2 and made more robust by the analytical sensitivity and specificity of next-generation sequencing (NGS) methods,3 single-cell sequencing enables researchers to examine the heterogeneity of cells, and promises to reveal what role individual cells play in disease and complex biological systems.

How? For every cell sequenced, researchers have a comprehensive map of the transcriptome that can be analyzed in several of different ways to characterize cells at single-cell resolution. Currently, 3 primary applications stand out:

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BaseSpace Suite Summit

Join us for our BaseSpace® Suite Informatics Summit in Copenhagen, DK on 31 May and 1 June. Immediately after the European Society for Human Genetics (ESHG) annual meeting, attendance at the summit is FREE. Learn more about our informatics tools and how they’re designed to help you transform complex genomic data into meaningful insights quickly and easily.

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Why attend a BaseSpace Suite Summit?

  • Share your perspectives on applying informatics tools in your lab
  • Attend informative sessions and learn how other customers use informatics
  • Get important product information for BaseSpace Clarity LIMS, BaseSpace Sequence Hub, BaseSpace Variant Interpreter (Beta), BaseSpace Cohort Analyzer, and BaseSpace Correlation Engine
  •  Learn best practices, including how an integrated approach to informatics can expedite workflows
  • Connect with your peers

Register here.

Learn more by clicking on the “Summit” dropdown above, or click here. 

 

BaseSpace Cohort Analyzer Update

BaseSpace Cohort Analyzer enables users to apply complex genomic data in novel ways across the entire drug discovery and development process. Pharmaceutical and biotechnology organizations can incorporate data analysis and interpretation into biomarker discovery, translational research, and clinical trials.

We are writing to summarize recent changes to BaseSpace Cohort Analyzer and to share our plans for 2017.

2016 Highlights

Last year our main focus was on enabling you to upload basic cancer data in a quick, easy, automated and secure manner. We implemented the following features:

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Updated Command Line Tools – Wait for App Dependencies

We are pleased to announce a minor release of BaseSpaceCLI (0.8.10) with some improvements to existing tools and a new tool – bs wait.

‘bs wait’

The new wait command for BaseSpaceCLI is analogous to the shell command wait and was designed to help connect together separate app launches. The wait command accepts as arguments one or more appsessions and will then wait for these appsessions to finish, polling based on a specified interval (default 60 seconds). Once they have all finished, bs wait returns the appresults that have been generated by the provided appsessions. The intention is that these appresults can then be passed into another app launch, providing some limited app-chaining capabilities.
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BaseSpace Informatics Suite Summit 2016

transform-possibilities

You’re invited to an exclusive informatics event

Advancing Precision Medicine efforts relies on the ability to make sense of a growing body of genomic data. The need for robust informatics tools and an integrated approach when it comes to acquiring, storing, distributing, and analyzing data is essential.

Join us for our BaseSpace® Suite Summit in Rochester, MN on October 3 and 4. Taking place immediately before the Individualizing Medicine Conference, registration is free. Learn more about our informatics tools and how they’re designed to help you transform complex genomic data into meaningful insights quickly and easily.

  • Share your perspectives on applying informatics tools in your lab
  • Attend your choice of sessions on informatics topics
  • Learn best practices for laboratory information management, including how an integrated approach can expedite workflows
  • Connect with your peers

Venue and Format
Lodging and Summit activities take place at the Kahler Grand Hotel in Rochester, MN. All day sessions on October 3 and the morning of October 4 include a variety of hands-on, introductory, and training sessions.

More Information
If you have questions, please contact us.

register

VCAT v3.0 and FASTQ Toolkit v2.2 – Usability Improvements and Gold Reference Updates

The Variant Calling Assessment Tool (VCAT) v3.0 BaseSpace® App has improved usability, several new gold references, adds BED file stratification, and delivers an enhanced in-browser report.

Improved VCF file selection

  • File chooser now allows multi-selection of VCFs
  • Easier usage of alternative labels for VCF files
  • File chooser now defaults to the current Project
  • Improved VCF file tooltips now show analysis name

Gold Reference Additions and Updates

  • Added Platinum Genomes reference data for NA12877 (male spouse of NA12878)
  • Added NIST GiaB gold reference data for NA24385 (Ashkenazi male)
  • Added gold reference data and novelty rate calculations for hg38
  • Updated NIST Genome in a Bottle reference data to version 3.2.2
  • Updated Platinum Genomes reference data to version 2016-01

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