Topic: microbes Goto Github
Some thing interesting about microbes
Some thing interesting about microbes
microbes,DecontaMiner is a tool designed and developed to investigate the presence of contaminating sequences in unmapped NGS data. It can suggest the presence of contaminating organisms in sequenced samples, that might derive either from laboratory contamination or from their biological source, and in both cases can be considered as worthy of further investigation and experimental validation. The novelty of DecontaMiner is mainly represented by its easy integration with the standard procedures of NGS data analysis, while providing a complete, reliable, and automatic pipeline. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2684-x
User: amarinderthind
Home Page: http://www-labgtp.na.icar.cnr.it/decontaminer/
microbes,This repository contains python code used to create figures in the accompanying manuscript.
User: arjunchakrawal
microbes,Classification of stressful microbial growth conditions using gene fitness data and support vector machines
User: asplund-samuelsson
microbes,Nextflow pipeline for generation of phylogenetic trees to be visualized in Auspice.
Organization: bccdc-phl
microbes,Nextflow pipeline for pathogen surveillance in wastewater
Organization: bccdc-phl
microbes,A theorectical investigation into mechanisms of drought legacy formation and influencing factors in soil microbiomes using DEMENTpy.
User: bioatmosphere
microbes,Significance of non-microbial processes in organic matter decompositon in ecosystems across scales
User: bioatmosphere
microbes,
Organization: caledna
Home Page: http://www.protectingourriver.org
microbes,Neutral evolution modeling of microbes.
User: cguccione
microbes,Targeted Probe Design Pipeline. Using mWGS genome bin clusters, prokka annotation predictions, and blast+ databases for generation, processing and filtering probe sequences.
User: cometsong
microbes,This is the code repository for CLM-Microbe model.
User: email-clm
microbes,Python simulation for visualizing the net geochemical outcomes of microbial metabolism - referred to here as "dead-end states." Poster presentation at Univ. Oregon Undergrad Symposium 2022.
User: gromulus-romulus
microbes,Deep learning-based instance segmentation tool for roundish objects in 2D and 2D+t data
Organization: hip-satomi
microbes,Omero based integrated Workflow for annotating Microbes in the Cloud
Organization: hip-satomi
microbes,Javascript and D3 are used to create an interactive dashboard to explore a microbes on human subjects dataset.
User: jasoncr
microbes,To explore biotic associations of microbes at the community level. See the detailed package tutorial (https://joshualiuxu.github.io/).
User: joshualiuxu
microbes,Classification model predicting the type of microbe from provided features
User: kenan-erol
microbes,Build an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogues the microbes that colonize human navels by using Plotly and D3.js libraries.
User: kk-deng
microbes,A roguelike game where you play a micro organism inside a larger organism!
User: micutio
microbes,Using Plotly, JavaScript, d3, and Bootstrap, created an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels. The dataset reveals that a small handful of microbial species (also called operational taxonomic units, or OTUs, in the study) were present in more than 70% of people, while the rest were relatively rare.
User: mocchicone
microbes,A tool for phylogenetic comparison and analysis of microbe including gene's environmental association
Organization: pbradleylab
Home Page: https://phylogenize.org/
microbes,INTERACTIVE DASHBOARD to explore the Belly Button Biodiversity datasetLinks to an external site., which catalogs the microbes that colonize human navels.
User: roshniranads
microbes,Interactive dashboard to explore the Belly Button Biodiversity dataset using Plotly for Javascript.
User: ruthhinkle
microbes,A constraint-based method for prediction of metabolic engineering targets using ecModels of metabolism
Organization: sysbiochalmers
microbes,Microbe-Metabolite INteractions-based metabolic profiles Predictor
Organization: yulab-smu
Home Page: https://cran.r-project.org/package=MMINP
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