Optimising parallel R correlation matrix calculations on gene expression data using MapReduce
نویسندگان
چکیده
منابع مشابه
Electron–molecule collision calculations using the R-matrix method
The R-matrix method is an embedding procedure which is based on the division of space into an inner region where the physics is complicated and an outer region for which greatly simplified equations can be solved. The method developed out of nuclear physics, where the effects of the inner region were simply parametrized, into atomic andmolecular physics, where the full problem can be formulated...
متن کاملParallel Data Processing in Dynamic Hybrid Computing Environment Using MapReduce
A novel MapReduce computation model in hybrid computing environment called HybridMR is proposed in the paper. Using this model, high performance cluster nodes and heterogeneous desktop PCs in Internet or Intranet can be integrated to form a hybrid computing environment. In this way, the computation and storage capability of largescale desktop PCs can be fully utilized to process large-scale dat...
متن کاملHalvade-RNA: Parallel variant calling from transcriptomic data using MapReduce
Given the current cost-effectiveness of next-generation sequencing, the amount of DNA-seq and RNA-seq data generated is ever increasing. One of the primary objectives of NGS experiments is calling genetic variants. While highly accurate, most variant calling pipelines are not optimized to run efficiently on large data sets. However, as variant calling in genomic data has become common practice,...
متن کاملMolecular signatures from gene expression data: algorithm development using R
“Molecular signatures” or “gene-expression signatures” are used to model patients’ clinically relevant information (e.g., prognosis, survival time) using expression data from coexpressed genes. Signatures are a key feature in cancer research because they can provide insight into biological mechanisms and have potential diagnostic use. However, available methods to search for signatures fail to ...
متن کاملMapReduce Functions on GasDay Data Using Hadoop
The GasDay lab at Marquette University forecasts natural gas consumption for 26 Local Distributing Companies around the United States. We have a very large amount of data that has accumulated over the past 19 years, and the lab needs a way to select and process from all of this data to gain insight into our forecasting methods. MapReduce is a pair of functions originally proposed by Jeffrey Dea...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2014
ISSN: 1471-2105
DOI: 10.1186/s12859-014-0351-9