Jeenk: scalable genomics tools, powered by Apache Flink

Overview

Jeenk is a collection of parallel, distributed tools for genomics, written within the Apache Flink data streaming framework and using Apache Kafka for data movement.

Currently it consists of three Flink-based tools:

• A reader, that reads the proprietary raw Illumina BCL files directly from the sequencer's run directory and converts them to read-based data (FASTQ-like), which are sent to a Kafka broker for storage and further processing (akin to Illumina's bcl2fastq2);
• An aligner, that aligns the reads to a reference genome using the BWA-MEM plugin through the RAPI library (http://github.com/crs4/rapi/);
• A CRAM writer, that writes the aligned reads as space-efficient CRAM files.

Compilation

This software has been tested with Apache Flink 1.4 and Java 8.

To compile just run sbt clean assembly, which will create a Jeenk-assembly-X.Y.jar file, to be fed to the Flink server.

The first compilation may take a long time, since it will download all the dependencies.

Configuration

A template configuration file is provided as conf/jeenk.conf. The file must be edited with the parameters of your Flink and Kafka configurations.

See the configuration guide for details on how to configure and run Jeenk tools.

To setup Flink and Kafka clusters, see the projects' documentation.

License

Jeenk is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

See COPYING for further details.

For alternative licensing arrangements send inquiries to Gianluigi Zanetti [email protected]

Further Reading

• F. Versaci, L. Pireddu and G. Zanetti, Kafka interfaces for composable streaming genomics pipelines, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Las Vegas, NV, USA, 2018, pp. 259-262. doi:10.1109/BHI.2018.8333418 URL

• F. Versaci, L. Pireddu and G. Zanetti, Scalable genomics: From raw data to aligned reads on Apache YARN, 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, 2016, pp. 1232-1241. doi:10.1109/BigData.2016.7840727 URL