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QIIME (English: / tʃ aɪ m / ch-eye-m) [1] is a bioinformatics data science platform, originally developed for analysis of high-throughput microbiome marker gene (e.g., 16S or 18S rRNA genes) amplicon sequencing data. There have been two major versions of the QIIME platform, QIIME 1 [2] and QIIME 2. [3]
The Sequence Read Archive (SRA, previously known as the Short Read Archive) is a bioinformatics database that provides a public repository for DNA sequencing data, especially the "short reads" generated by high-throughput sequencing, which are typically less than 1,000 base pairs in length. [1]
In the 1980s, low-throughput sequencing using the Sanger method was used to sequence random transcripts, producing expressed sequence tags (ESTs). [2] [14] [15] [16] The Sanger method of sequencing was predominant until the advent of high-throughput methods such as sequencing by synthesis (Solexa/Illumina).
However, SAGE sampling is based on sequencing mRNA output, not on hybridization of mRNA output to probes, so transcription levels are measured more quantitatively than by microarray. In addition, the mRNA sequences do not need to be known a priori , so genes or gene variants which are not known can be discovered.
An amplicon sequence variant (ASV) is any one of the inferred single DNA sequences recovered from a high-throughput analysis of marker genes. Because these analyses, also called "amplicon reads," are created following the removal of erroneous sequences generated during PCR and sequencing, using ASVs makes it possible to distinguish sequence ...
The 3' blocking groups were originally conceived as either enzymatic [33] or chemical reversal [14] [15] The chemical method has been the basis for the Solexa and Illumina machines. Sequencing by reversible terminator chemistry can be a four-colour cycle such as used by Illumina/Solexa, or a one-colour cycle such as used by Helicos BioSciences.
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