A blog about scientific Python, data, machine learning and recommender systems. MIP, my proposal for a high-performance analysis pipeline for whole exome sequencing. Saturday, August 23, 2014. It has been a while since my last post, but the reason is worth the long time absent. Since January I am co-leading the bioinformatics and I. T department of one of Genomika Diagnósticos. Genomika is one of most advanced clinical genetics.

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Open-source Python persistence framework for graph databases. Harness the power of graphs with the TinkerPop stack. Your perspective guides your thoughts, your choices, your trajectory.

Applying Graph Theory and Network Science. Graphs provide an intuitive way to model, understand, predict, and influence the behavior of complex, interrelated social, economic, and physical networks. Aurelius is a team of software engineers and scientists committed to applying network science. To problems in various domains including marketing, retail, education, health care, telecommunications, and finance. We are the creators of the distributed graph database Titan.

Is a great object-oriented, interpreted, and interactive programming language. Using and Editing the Wiki. Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems.

Introduction to Indexing, Aggregation and Querying in Druid. Druid is a time-series database. It indexes events that occur over time, and is good at answering queries that involve aggregating values over time. CPU Resources in Docker, Mesos and Marathon.