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A software pipeline generated to create true and accurate 3D averages of facial soft tissue will attract interest from orthodontic software corporations.
In 2009, ERI calculated how Total and Chevron's pipeline generated over US$7.5 billion dollars from 2000-2008, the lion's share going to the ruling junta.
The pipeline generated a total of 25,271 OrthoMCL families and 15,050 Jaccard Clustering families that contain a total of 165,970 proteins (154,736 and 152,799 for each method, respectively) from eight different organisms.
Pipeline generated annotations that were found in the tabular output help simplify the data filtering process.
The sequence assembly pipeline generated 19,061 reference contigs (Additional file 1), spanning 6.11 Mbp.
In the end, the pipeline generated a HapMap genotype with single letters (hmp) for each individual.
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The pipeline generates an estimated $400 million a year in revenue for one of the ugliest governments around; the junta's take helps keep it afloat.
The pipeline generates enough heat to change the temperature of the ground.
The SNP/indel discovery pipeline generates contigs.
Since this pipeline generates super-reads, raw sequencing reads were used as input data.
The pipeline generates merged reports of known and novel miRNAs for all samples to make further analyses easier.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com