Delegate Routine Procedures to Your Lab Technicians

The democratization of data-intensive technologies such as next-generation sequencing, mass spec-driven multi-omics workflows, and high-resolution imaging systems is making bioinformatic analysis a required function. In the vast majority of labs, a dedicated staff of highly trained computer scientists handles bioinformatics, given that a biologist or bench scientist typically is not trained on using command line tools created by computer scientists. The complexity of bioinformatics analysis can make data processing difficult forcareers.jpg a non-computational researcher or lab technician.

When you require your bioinformatics team, or bioinformatician in a small lab, to perform routine tasks for an experiment (e.g. running standardized variant calling pipelines in an NGS lab), you create multiple inefficiencies including the following:

  1. Running your experiments can only happen on the timeline and availability of the bioinformatician or bioinformatics team.
  2. You are using your highly-skilled bioinformatician/bioinformatics team to perform tasks the lab tech could do.

Instead, by using a software platform like Lab7’s Enterprise Science Platform (ESP) that integrates bioinformatics analysis with a system that manages your wet lab operations, you can relinquish control of these simple tasks to the lab technicians. Allowing non-computational techs to fire off routine analyses lets the bioinformatician/bioinformatics team focus on doing what they do best—developing and testing novel analytical methods, which will likely lead to even more efficiencies in your lab in the future.

Learn more about gaining efficiency in your lab by downloading our Five Strategies to Improve the Efficiency of Your Lab whitepaper. 

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Related Posts:

  1. Lab7 Presents Genomic Informatics Solution at Plant Genomics Congress
  2. Don’t Let Data and Knowledge Leave the Lab When Employees Do
  3. Make the Transition from the Wet Lab to Analysis Seamless
  4. Stop Using Ad Hoc Systems to Maintain Sample and Data Provenance

This entry was posted in Big Data, Bioinformatics, education, provenance, white paper, lab efficiency