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# metagenomes_NEON

This repository contains code for downloading and processing shotgun metagenomics data from the National Ecological Observatory Network (NEON). This accompanies a tutorial for processing the raw reads.
This repository contains code for downloading and processing shotgun metagenomics data from the National Ecological Observatory Network (NEON). This accompanies a tutorial for processing the raw reads, accessible on F1000 Research.

Two BLAST analyses are included in the tutorial: one focuses on N-cycling genes, and the other on antibiotic resistance genes. There are scripts here for parsing the BLAST output (in Python), writing it to a CSV file, then visualizing the results in R.
Two BLAST analyses are described in the tutorial: one focuses on N-cycling genes, and the other on antibiotic resistance genes. There is an example script here for parsing the BLAST output (in Python) and writing it to a CSV file, `blast_parser.py`. Then, the scripts beginning with `normalize_gene_counts` can be used to normalize data using the DeSeq R package and visualize the results in R.

To recreate or update `metadata_metagenome.csv` (the file with raw NEON sample read counts), run this code in R (takes < 3 minutes):
To update `metadata_metagenome.csv` (the file with raw NEON sample read counts - necessary for normalization), run this code in R (takes < 3 minutes):

```
library(neonUtilities)
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