Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations
出版年份 2016 全文链接
标题
Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations
作者
关键词
Simulated Dataset, Computational Node, Human Microbiome Project, MapReduce Framework, Cloud Computing Infrastructure
出版物
BMC BIOINFORMATICS
Volume 17, Issue 1, Pages -
出版商
Springer Nature
发表日期
2016-07-28
DOI
10.1186/s12859-016-1159-6
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A two-phase binning algorithm using l-mer frequency on groups of non-overlapping reads
- (2015) Le Vinh et al. Algorithms for Molecular Biology
- Clustering of reads with alignment-free measures and quality values
- (2015) Matteo Comin et al. Algorithms for Molecular Biology
- DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection
- (2015) Xiao Ding et al. BMC BIOINFORMATICS
- CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers
- (2015) Rachid Ounit et al. BMC GENOMICS
- Multi-Layer and Recursive Neural Networks for Metagenomic Classification
- (2015) Gregory Ditzler et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Cloud Computing-Based TagSNP Selection Algorithm for Human Genome Data
- (2015) Che-Lun Hung et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Bioinformatics on the Cloud Computing Platform Azure
- (2014) Hugh P. Shanahan et al. PLoS One
- Kraken: ultrafast metagenomic sequence classification using exact alignments
- (2014) Derrick E Wood et al. GENOME BIOLOGY
- SeqPig: simple and scalable scripting for large sequencing data sets in Hadoop
- (2013) André Schumacher et al. BIOINFORMATICS
- Scalable metagenomic taxonomy classification using a reference genome database
- (2013) Sasha K. Ames et al. BIOINFORMATICS
- Alignment-free supervised classification of metagenomes by recursive SVM
- (2013) Hongfei Cui et al. BMC GENOMICS
- Survey of MapReduce frame operation in bioinformatics
- (2013) Q. Zou et al. BRIEFINGS IN BIOINFORMATICS
- Cloud computing for comparative genomics
- (2012) Dennis P Wall et al. BMC BIOINFORMATICS
- Metagenomic abundance estimation and diagnostic testing on species level
- (2012) Martin S. Lindner et al. NUCLEIC ACIDS RESEARCH
- METAGENOMIC TAXONOMIC CLASSIFICATION USING EXTREME LEARNING MACHINES
- (2012) ZEEHASHAM RASHEED et al. Journal of Bioinformatics and Computational Biology
- FLASH: fast length adjustment of short reads to improve genome assemblies
- (2011) T. Magoc et al. BIOINFORMATICS
- An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics
- (2011) Ronald C Taylor BMC BIOINFORMATICS
- Accurate and fast estimation of taxonomic profiles from metagenomic shotgun sequences
- (2011) Bo Liu et al. BMC GENOMICS
- Fast and accurate long-read alignment with Burrows–Wheeler transform
- (2010) Heng Li et al. BIOINFORMATICS
- Comparison of Statistical Methods to Classify Environmental Genomic Fragments
- (2010) G L Rosen et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- MapReduce
- (2009) Jeffrey Dean et al. COMMUNICATIONS OF THE ACM
- De novo assembly of human genomes with massively parallel short read sequencing
- (2009) R. Li et al. GENOME RESEARCH
- The NIH Human Microbiome Project
- (2009) et al. GENOME RESEARCH
- Phymm and PhymmBL: metagenomic phylogenetic classification with interpolated Markov models
- (2009) Arthur Brady et al. NATURE METHODS
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- (2009) Ben Langmead et al. GENOME BIOLOGY
- MapReduce
- (2008) Jeffrey Dean et al. COMMUNICATIONS OF THE ACM
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started