Blog

Life Before & After Basepair

Our team of bioinformaticians and developers have spent over 15 years conducting NGS data analysis before starting Basepair. During the ol' manual NGS data analysis days, there were some good times... and there was also plenty of frustration. Much of NGS data analysis...

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Basepair API features

We’ve heard the war stories from our fellow bioinformaticians and lab directors: waking up bleary-eyed in the middle of the night to check on the results of an NGS data analysis pipeline, converting files to different formats, setting up the next step of their...

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Visualizing your NGS results with Basepair

Writers write, painters paint, genomics researchers… wait patiently for algorithm pipelines to finish processing NGS data, only to spend as much time visualizing results? As long-time researchers and bioinformaticians, we’re well aware that in NGS data analysis, every...

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Meet Basepair at Bio-IT World 2019

Basepair will be at this year’s Bio-IT World Meet Basepair in Boston, MA from April 16-18, and connect with us to learn how you can run NGS analysis at scale. Our platform is trusted by top institutions such as Partners Healthcare, Harvard Medical School, NYU,...

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Trimming for RNA-Seq data

Quality trimming decreases the overall number of reads, but increases to the total and proportion of uniquely mapped reads. Thus, you get more useful data for downstream analyses. Too aggressive quality trimming can negatively impact downstream analysis (in our example, estimation of gene expression). Hence, our own findings and that of the research community motivate the incorporation of a light amount of trimming in RNA-seq data (we use a Q threshold of 10).

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