AMPLab Publications

• Kira: Processing Astronomy Imagery Using Big Data Technology
• Rapid and efficient analysis of 20,000 RNA-seq samples with Toil
• Scientific Computing Meets Big Data Technology: An Astronomy Use Case
• The NIH BD2K center for big data in translational genomics
• Rethinking Data-Intensive Science Using Scalable Analytics Systems
• Changepoint Analysis for Efficient Variant Calling
• SMASH: A Benchmarking Toolkit for Human Genome Variant Calling
• ADAM: Genomics Formats and Processing Patterns for Cloud Scale Computing
• Generalized Scale Independence Through Incremental Precomputation
• Faster and More Accurate Sequence Alignment with SNAP
• Experiences Teaching MapReduce in the Cloud
• PIQL: Success-Tolerant Query Processing in the Cloud
• The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements