ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Las características principales de bigdatagenomics/adam son: Machine Learning and Analytics, Frameworks de Machine Learning, Data Analysis and Visualization, Domain Specific Processing.
Las alternativas de código abierto para bigdatagenomics/adam incluyen: bioscala/bioscala — Bioinformatics for the Scala programming language. scalanlp/breeze — Breeze is/was a numerical processing library for Scala. biddata/bidmach — CPU and GPU-accelerated Machine Learning Library. biddata/bidmat — A CPU and GPU-accelerated matrix library for data mining. oryxproject/oryx — Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning. twitter/algebird — Abstract Algebra for Scala.
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
