unweight fasta py

Unweight_fasta.py Command

Unweight_fasta.py Command

unweight_fasta.py

Quantitative Insights Into Microbial Ecology

Install unweight_fasta.py

  • Debian apt-get install qiime Click to copy
  • Ubuntu apt-get install qiime Click to copy
  • Raspbian apt-get install qiime Click to copy

qiime

Quantitative Insights Into Microbial Ecology

QIIME (canonically pronounced ??Chime??) is a pipeline for performing microbial community analysis that integrates many third party tools which have become standard in the field. A standard QIIME analysis begins with sequence data from one or more sequencing platforms, including * Sanger, * Roche/454, and * Illumina GAIIx. With all the underlying tools installed, of which not all are yet available in Debian (or any other Linux distribution), QIIME can perform * library de-multiplexing and quality filtering; * denoising with PyroNoise; * OTU and representative set picking with uclust, cdhit, mothur, BLAST, or other tools; * taxonomy assignment with BLAST or the RDP classifier; * sequence alignment with PyNAST, muscle, infernal, or other tools; * phylogeny reconstruction with FastTree, raxml, clearcut, or other tools; * alpha diversity and rarefaction, including visualization of results, using over 20 metrics including Phylogenetic Diversity, chao1, and observed species; * beta diversity and rarefaction, including visualization of results, using over 25 metrics including weighted and unweighted UniFrac, Euclidean distance, and Bray-Curtis; * summarization and visualization of taxonomic composition of samples using pie charts and histograms and many other features. QIIME includes parallelization capabilities for many of the computationally intensive steps. By default, these are configured to utilize a mutli-core environment, and are easily configured to run in a cluster environment. QIIME is built in Python using the open-source PyCogent toolkit. It makes extensive use of unit tests, and is highly modular to facilitate custom analyses.

To install the latest version of unweight_fasta.py in your favorite operating system just copy the unweight_fasta.py installation command from above and paste it into terminal. It will download and install the latest version of unweight_fasta.py 2023 package in your OS.