Article-Journal

SeQuiLa-cov provides significant performance gain in depth of coverage calculations streamlining the widely used bioinformatic processing pipelines.

Efficient processing of large-scale genomic datasets has recently become possible due to the application of ‘big data’ technologies in bioinformatics pipelines. We present SeQuiLa—a distributed, ANSI SQL-compliant solution for speedy querying and processing of genomic intervals that is available as an Apache Spark package. Proposed range join strategy is significantly (∼22×) faster than the default Apache Spark implementation and outperforms other state-of-the-art tools for genomic intervals processing.

In this paper a method is presented for learning of spiking neural networks. It is based on perturbation of synaptic conductances. …