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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]
Metatranscriptomics is the set of techniques used to study gene expression of microbes within natural environments, i.e., the metatranscriptome. [1]While metagenomics focuses on studying the genomic content and on identifying which microbes are present within a community, metatranscriptomics can be used to study the diversity of the active genes within such community, to quantify their ...
An advantage to high throughput sequencing is that this technique does not require cloning the DNA before sequencing, removing one of the main biases and bottlenecks in environmental sampling. The first metagenomic studies conducted using high-throughput sequencing used massively parallel 454 pyrosequencing . [ 17 ]
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).
Recently, sequencing multiple species at one time is one of the top research objectives. Metagenomics is the study of microbial communities directly obtained from the environment. Different from cultured microorganisms from the lab, the wild sample usually contains dozens, sometimes even thousands of types of microorganisms from their original ...
The first of the high-throughput sequencing technologies, massively parallel signature sequencing (or MPSS, also called next generation sequencing), was developed in the 1990s at Lynx Therapeutics, a company founded in 1992 by Sydney Brenner and Sam Eletr. MPSS was a bead-based method that used a complex approach of adapter ligation followed by ...
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