@article{cock2010sanger, title={The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants}, author={Cock, Peter JA and Fields, Christopher J and Goto, Naohisa and Heuer, Michael L and Rice, Peter M}, journal={Nucleic acids research}, volume={38}, number={6}, pages={1767--1771}, year={2010}, publisher={Oxford University Press} } @ARTICLE{Boyer2016-gq, title = "{obitools: a unix-inspired software package for DNA metabarcoding}", author = "Boyer, Fr{\'e}d{\'e}ric and Mercier, C{\'e}line and Bonin, Aur{\'e}lie and Le Bras, Yvan and Taberlet, Pierre and Coissac, Eric", abstract = "DNA metabarcoding offers new perspectives in biodiversity research. This recently developed approach to ecosystem study relies heavily on the use of next-generation sequencing (NGS) and thus calls upon the ability to deal with huge sequence data sets. The obitools package satisfies this requirement thanks to a set of programs specifically designed for analysing NGS data in a DNA metabarcoding context. Their capacity to filter and edit sequences while taking into account taxonomic annotation helps to set up tailor-made analysis pipelines for a broad range of DNA metabarcoding applications, including biodiversity surveys or diet analyses. The obitools package is distributed as an open source software available on the following website: http://metabarcoding.org/obitools. A Galaxy wrapper is available on the GenOuest core facility toolshed: http://toolshed.genouest.org.", journal = "Molecular ecology resources", publisher = "Wiley Online Library", volume = 16, number = 1, pages = "176--182", month = jan, year = 2016, url = "http://dx.doi.org/10.1111/1755-0998.12428", keywords = "PCR errors; biodiversity; next-generation sequencing; sequence analysis; taxonomic annotation", language = "en", issn = "1755-098X, 1755-0998", pmid = "25959493", doi = "10.1111/1755-0998.12428" } @article{Lipman1985-hw, abstract = {An algorithm was developed which facilitates the search for similarities between newly determined amino acid sequences and sequences already available in databases. Because of the algorithm's efficiency on many microcomputers, sensitive protein database searches may now become a routine procedure for molecular biologists. The method efficiently identifies regions of similar sequence and then scores the aligned identical and differing residues in those regions by means of an amino acid replacability matrix. This matrix increases sensitivity by giving high scores to those amino acid replacements which occur frequently in evolution. The algorithm has been implemented in a computer program designed to search protein databases very rapidly. For example, comparison of a 200-amino-acid sequence to the 500,000 residues in the National Biomedical Research Foundation library would take less than 2 minutes on a minicomputer, and less than 10 minutes on a microcomputer (IBM PC).}, author = {Lipman, D J and Pearson, W R}, date-added = {2023-01-26 15:17:10 +0100}, date-modified = {2023-01-26 15:17:10 +0100}, issn = {0036-8075}, journal = {Science}, month = mar, number = 4693, pages = {1435--1441}, pmid = {2983426}, title = {{Rapid and sensitive protein similarity searches}}, url = {http://www.ncbi.nlm.nih.gov/pubmed/2983426}, volume = 227, year = 1985, bdsk-url-1 = {http://www.ncbi.nlm.nih.gov/pubmed/2983426}}