Tools for visualising microbial community amplicon data
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Updated
May 21, 2024 - R
Tools for visualising microbial community amplicon data
Various functions for analysis of microbial community data
📦BEEM-Static: An R package for inferring microbial interactions based on Lotka-Volterra models
lake itag measurements over nineteen years
Environmental metagenomics, Spring 2022, Physalia Courses
A quick and user-friendly pipeline to go from raw fastq data from Illumina (paired-end sequencing) to processed ASVs and Taxonomic data.
Data and code for LaMartina et al., 2021
Supplemental code of the paper "Environmental selection shapes the formation of near-surface groundwater microbiomes".
Data and code for Kimbell et al., 2021
Agricultural practices in cropland, like soil tillage and fertilizer applications, profoundly alter soil physical and chemical properties over time.
PubMed trend analysis of ecological keywords
Interactive and evolving catalogue of microbial interactions based on the framework of Pacheco and Segrè (2019)
Microbial co-occurrence network reveals climate and geographic patterns for soil diversity on the planet
Scripts for a manuscript titled "Subsurface Microbial Communities Reflect Regional-Scale Groundwater Hydraulic Connectivity" (submitted)
Full-length bacterial 16S rRNA marker genes from a diverse wastewater sample set. LaMartina, et al., ASM Resource Announcement, 2022
Script repository related to the data processing and analyses of the study "Evidence of habitat specificity in sponge microbiomes from Antarctica"
QIIME 2 and R code along with manifests, metadata, inputs, and outputs for duckweed microbiome project (Acosta et al, 2020, Plos One).
Groundwater bacterial communities evolve over time, exhibiting cyclic similarity patterns in response to multi-annual recharge events
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