Search and clustering orders of magnitude faster than BLAST
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TLDR
UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters and offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets.Abstract:
Motivation: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification.
Results: UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets.
Availability: Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch
Contact: [email protected]
Supplementary information:Supplementary data are available at Bioinformatics online.read more
Citations
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Journal ArticleDOI
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Christian Quast,Elmar Pruesse,Pelin Yilmaz,Jan Gerken,Timmy Schweer,Pablo Yarza,Jörg Peplies,Frank Oliver Glöckner +7 more
TL;DR: The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
Journal ArticleDOI
UCHIME improves sensitivity and speed of chimera detection
TL;DR: UCHIME has better sensitivity than ChimeraSlayer (previously the most sensitive database method), especially with short, noisy sequences, and in testing on artificial bacterial communities with known composition, UCHIME de novo sensitivity is shown to be comparable to Perseus.
Journal ArticleDOI
UPARSE: highly accurate OTU sequences from microbial amplicon reads
TL;DR: The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% correct bases commonly reported by other methods.
Journal ArticleDOI
Fast and sensitive protein alignment using DIAMOND
TL;DR: DIAMOND is introduced, an open-source algorithm based on double indexing that is 20,000 times faster than BLASTX on short reads and has a similar degree of sensitivity.
Journal ArticleDOI
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Morgan G. I. Langille,Jesse R. Zaneveld,J. Gregory Caporaso,J. Gregory Caporaso,Daniel McDonald,Dan Knights,Joshua A Reyes,Jose C. Clemente,Deron E. Burkepile,Rebecca Vega Thurber,Rob Knight,Rob Knight,Robert G. Beiko,Curtis Huttenhower,Curtis Huttenhower +14 more
TL;DR: The results demonstrate that phylogeny and function are sufficiently linked that this 'predictive metagenomic' approach should provide useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available.
References
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Journal ArticleDOI
Basic Local Alignment Search Tool
TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
Journal ArticleDOI
MUSCLE: multiple sequence alignment with high accuracy and high throughput
TL;DR: MUSCLE is a new computer program for creating multiple alignments of protein sequences that includes fast distance estimation using kmer counting, progressive alignment using a new profile function the authors call the log-expectation score, and refinement using tree-dependent restricted partitioning.
Journal ArticleDOI
The Pfam protein families database
Marco Punta,Penny Coggill,Ruth Y. Eberhardt,Jaina Mistry,John Tate,Chris Boursnell,Ningze Pang,Kristoffer Forslund,Goran Ceric,Jody Clements,Andreas Heger,Liisa Holm,Erik L. L. Sonnhammer,Sean R. Eddy,Alex Bateman,Robert D. Finn +15 more
TL;DR: The definition and use of family-specific, manually curated gathering thresholds are explained and some of the features of domains of unknown function (also known as DUFs) are discussed, which constitute a rapidly growing class of families within Pfam.
Journal ArticleDOI
Pfam: the protein families database.
Robert D. Finn,Alex Bateman,Jody Clements,Penelope Coggill,Ruth Y. Eberhardt,Sean R. Eddy,Andreas Heger,Kirstie Hetherington,Liisa Holm,Jaina Mistry,Erik L. L. Sonnhammer,John Tate,Marco Punta +12 more
TL;DR: Pfam as discussed by the authors is a widely used database of protein families, containing 14 831 manually curated entries in the current version, version 27.0, and has been updated several times since 2012.
Journal ArticleDOI
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
Weizhong Li,Adam Godzik +1 more
TL;DR: Cd-hit-2d compares two protein datasets and reports similar matches between them; cd- Hit-est clusters a DNA/RNA sequence database and cd- hit-est-2D compares two nucleotide datasets.
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