Journal ArticleDOI
Basic Local Alignment Search Tool
TLDR
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.About:
This article is published in Journal of Molecular Biology.The article was published on 1990-10-01. It has received 88255 citations till now. The article focuses on the topics: Substitution matrix & Sim4.read more
Citations
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Journal ArticleDOI
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
Stephen F. Altschul,Thomas L. Madden,Alejandro A. Schäffer,Jinghui Zhang,Zheng Zhang,Webb Miller,David J. Lipman +6 more
TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.
Journal ArticleDOI
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin,Ignacio Arganda-Carreras,Erwin Frise,Verena Kaynig,Mark Longair,Tobias Pietzsch,Stephan Preibisch,Curtis Rueden,Stephan Saalfeld,Benjamin Schmid,Jean-Yves Tinevez,Daniel J. White,Volker Hartenstein,Kevin W. Eliceiri,Pavel Tomancak,Albert Cardona +15 more
TL;DR: Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis that facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system.
Journal ArticleDOI
The Protein Data Bank
Helen M. Berman,John D. Westbrook,Zukang Feng,Gary L. Gilliland,Talapady N. Bhat,Helge Weissig,Ilya N. Shindyalov,Philip E. Bourne +7 more
TL;DR: The goals of the PDB are described, the systems in place for data deposition and access, how to obtain further information and plans for the future development of the resource are described.
Journal ArticleDOI
QIIME allows analysis of high-throughput community sequencing data.
J. Gregory Caporaso,Justin Kuczynski,Jesse Stombaugh,Kyle Bittinger,Frederic D. Bushman,Elizabeth K. Costello,Noah Fierer,Antonio Gonzalez Peña,Julia K. Goodrich,Jeffrey I. Gordon,Gavin A. Huttley,Scott T. Kelley,Dan Knights,Jeremy E. Koenig,Ruth E. Ley,Catherine A. Lozupone,Daniel McDonald,Brian D. Muegge,Meg Pirrung,Jens Reeder,Joel Sevinsky,Peter J. Turnbaugh,William A. Walters,Jeremy Widmann,Tanya Yatsunenko,Jesse R. Zaneveld,Rob Knight,Rob Knight +27 more
TL;DR: An overview of the analysis pipeline and links to raw data and processed output from the runs with and without denoising are provided.
Journal ArticleDOI
Search and clustering orders of magnitude faster than BLAST
TL;DR: 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.
References
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Journal ArticleDOI
Improved tools for biological sequence comparison.
TL;DR: Three computer programs for comparisons of protein and DNA sequences can be used to search sequence data bases, evaluate similarity scores, and identify periodic structures based on local sequence similarity.
Journal ArticleDOI
A general method applicable to the search for similarities in the amino acid sequence of two proteins
TL;DR: A computer adaptable method for finding similarities in the amino acid sequences of two proteins has been developed and it is possible to determine whether significant homology exists between the proteins to trace their possible evolutionary development.
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Rapid and sensitive protein similarity searches
TL;DR: An algorithm was developed which facilitates the search for similarities between newly determined amino acid sequences and sequences already available in databases and increases sensitivity by giving high scores to those amino acid replacements which occur frequently in evolution.
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Methods for assessing the statistical significance of molecular sequence features by using general scoring schemes
TL;DR: Using an appropriate random model, this work presents a theory that provides precise numerical formulas for assessing the statistical significance of any region with high aggregate score and examples are given of applications to a variety of protein sequences, highlighting segments with unusual biological features.