CloudDOE: A User-Friendly Tool for Deploying Hadoop Clouds and Analyzing High-Throughput Sequencing Data With MapReduce

PLoS ONE - United States
doi 10.1371/journal.pone.0098146
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Network Motif Analysis in Clouds - Subgraph Enumeration With Iterative Hadoop MapReduce

Services Transactions on Cloud Computing
2016English

A New Data Mining Algorithm Based on MapReduce and Hadoop

International Journal of Signal Processing, Image Processing and Pattern Recognition
Signal Processing
2014English

HaTSPiL: A Modular Pipeline for High-Throughput Sequencing Data Analysis

PLoS ONE
Multidisciplinary
2019English

Hadoop MapReduce Scheduling Paradigms

2017English

VDAP-GUI: A User-Friendly Pipeline for Variant Discovery and Annotation of Raw Next-Generation Sequencing Data

3 Biotech
AgriculturalBiotechnologyEnvironmental ScienceBiological Sciences
2016English

Bioinformatics for High Throughput Sequencing

Journal of Data Mining in Genomics & Proteomics
2013English

Big Data Challenges and Opportunities in High-Throughput Sequencing

Systems Biomedicine
2013English

MetaGenSense : A Web Application for Analysis and Visualization of High Throughput Sequencing Metagenomic Data

F1000Research
GeneticsMolecular BiologyPharmacologyBiochemistryMicrobiology ImmunologyMedicineToxicologyPharmaceutics
2015English

On Exploiting Data Locality for Iterative Mapreduce Applications in Hybrid Clouds

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy