elPrep: smarter, faster DNA sequence analysis software

Streamline your genomic research with an integrated tool that excels in speed and accuracy.

Glowing DNA double helix made of digital blocks against a dark blue data background

If genome sequencing is an important part of your medical practice or research, time is all too often not on your side. After identification of the individual bases through sequencing hardware, hundreds of gigabytes of data need to be processed to reconstruct the DNA sequence and flag variants that might indicate genetic disorders.

It’s a procedure that typically involves a series of DNA sequence analysis software tools and takes a lot of time – hampering your research and delaying your results. Unless you speed up the process with elPrep, of which version 5 now includes support for variant calling.

We’re ready to assist you

Faster DNA sequence analysis

elPrep is a DNA sequence analysis software solution that’s up to sixteen times faster than other programs on similar computing hardware, all without using expensive GPU or FPGA acceleration. The reason for this remarkable increase of speed? A smart software architecture that:

  • combines the processing of multiple genome sequencing preparation steps and parallelizes their execution
  • optimizes memory management
  • minimizes the number of I/O accesses
Benchmark bar charts comparing elPrep 5 and GATK 4 for runtime, RAM, and disk use.
WGS Benchmark*. Runtime, peak RAM, and disk use in GATK 4 (colored) vs. elPrep 5 (grey). The runtime/resource use for GATK 4 are shown per step in the pipeline, whereas all steps are combined into a single data point for elPrep 5. The GATK 4 runs were executed for both versions of the haplotype caller algorithm it implements. In comparison to GATK 4, elPrep 5 executes the pipeline 8.5-16x faster using +- 0.70x of the RAM and +- 0.70x of the disk space GATK4® uses. The outputs of elPrep are identical to the GATK outputs. (*50x NA12878 Illumina Platinum genome, hg38, run on AWS m5.24xlarge, Intel Xeon, 96 vCPU, 384 GiB RAM)

Comprehensive DNA sequence analysis software

elPrep is developed by ExaScience Life Lab, a division of imec that focuses on scalable software solutions for data-intensive and high-performance computing problems, primarily in life sciences. Thanks to this expertise, elPrep is a tool that produces results like established state-of-the-art genome analysis programs such as, amongst others, SAMtools, Picard and GATK4®.

Moreover, elPrep seamlessly replaces all these other tools, including variant calling. Giving you a single, ultra-fast solution for a large part of the DNA sequence analysis process.

Bar chart comparing runtime for whole-genome variant calling across several servers
The runtime for running the variant calling pipeline on whole-genome data, on a variety of suitable servers.
Bar chart comparing whole-genome variant calling costs on different server configurations
The cost for running the variant calling pipeline on whole-genome data, on a variety of suitable servers.

Want to use elPrep?

elPrep is offered by imec under dual licensing, namely AGPL v3 with Additional Terms and elPrep Premium License. Go to our terms of use page for detailed information .

elPrep is distributed as a single binary that incorporates all of its functionality and is easy to use and install. It’s written in Go, an open-source program language. It doesn't require GPU or FPGA accelerators and can therefore run on any standard server on-premise or in the cloud.

The elPrep source code is freely available on GitHub and various publications describe its behavior in full detail and compare it to other tools.

Need customization or support? Don’t hesitate to contact us.

Publications

C. Herzeel et al. "Multithreaded variant calling in elPrep 5", PloS ONE, (2021)

External link

C. Herzeel et al. “elPrep 4: A multithreaded framework for sequence analysis”, PloS ONE, (2019)

External link

P. Costanza et al. “A comparison of three programming languages for a full-fledged next-generation sequencing tool”. BMC Bioinformatics (2019)

External link

C. Herzeel et al. “elPrep: High-Performance Preparation of Sequence Alignment/Map Files for Variant Calling”, PloS ONE, (2015)

External link

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