An overview of multiple sequence alignments and cloud computing in bioinformatics

DOI10.1155/2013/615630zbMath1300.92067OpenAlexW2022697156WikidataQ56698367 ScholiaQ56698367MaRDI QIDQ470592

Roy D. Sleator, Aisling O'Driscoll, Jurate Daugelaite

Publication date: 12 November 2014

Published in: ISRN Biomathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/615630

zbMATH Keywords

multiple sequence alignmentcloud computingMSA algorithms

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20)

Related Items (3)

Parallel Algorithms to Align Multiple Strings in the Context of Web Data Extraction ⋮ Adaptation of the method of musical composition for solving the multiple sequence alignment problem ⋮ Category theory for genetics I: mutations and sequence alignments

Uses Software

• MapReduce
• MAFFT
• Soap
• BlueSNP
• Biodoop
• MSAProbs
• 3DCoffee
• Expresso
• MICAlign
• PeakRanger
• Quake
• CloudBLAST
• ProbCons
• DIALIGN
• ClustalW
• SOAP3
• MrsRF
• GATK
• SeqWare
• Hadoop-BAM
• Eoulsan
• FX
• Seal
• CloudBurst
• CloudAligner
• MUSCLE
• Kalign
• T-coffee
• Jnomics
• k-means++
• Probalign
• Crossbow

Cites Work

• Optimal implementations of UPGMA and other common clustering algorithms
• Unnamed Item

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