Topic: metabolites Goto Github
Some thing interesting about metabolites
Some thing interesting about metabolites
metabolites,Enumeration of biosynthetic pathways from metabolic networks
User: aarthi31
metabolites,Interaction proteomics analysis
User: asplund-samuelsson
metabolites,Galaxy tools for BEAMSpy: Birmingham mEtabolite Annotation for Mass SpectroMetry (Python Package)
Organization: computational-metabolomics
metabolites,Metfrag for Galaxy
Organization: computational-metabolomics
metabolites,compare peak area of annotated metabolites using criteria and make comparing plots for all of them as well as volcano plot
User: cremoproduction
metabolites,This package contains a Rshiny webtool developed to allow the calculation of the metabolic predictors developed by the groups of MOLEPI and LCBC (LUMC), from raw Nightingale Health 1H-NMR metabolomics data.
User: danielebizzarri
metabolites,Keep track of date/dosage of medication administration history
User: dgets
metabolites,A Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases.
Organization: emetabohub
metabolites,A pipeline to infer metabolite concentrations from 1D NMR data using BATMAN (Bayesian AuTomated Metabolite Analyser for NMR)
Organization: glasgowcompbio
metabolites,A Drug Metabolite & Toxicity Property Predictor Based on Graph Neural Network
User: gu-yaowen
metabolites,Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.
Organization: ipb-halle
metabolites,mSOM (metaboliteSOM)
User: jp-cranfield
metabolites,Raw data and code for "The Metabolome Weakens RNA Helix Stability and Increases RNA Chemical Stability"
User: jpsieg
metabolites,This repository provides a GUI app for phenotype assays analysis from raw data to chemoinformatics.
User: kevinvervier
metabolites,a *biosynformatic* fingerprint to explore natural product distance and diversity
User: lucinamay
metabolites,A parallel API crawler for the retrieval of Kyoto Encyclopedia of Genes and Genomes metabolic and genomics data.
User: mentatpsi
metabolites,MNXref: Reconciliation of metabolites and biochemical reactions for metabolic networks
Organization: metanetx
metabolites,
Organization: midas-wyss
metabolites,Cellular metabolism controls gene expression through allosteric interactions between metabolites and transcription factors. Methods to detect these regulatory interactions are mostly based on in vitro binding assays, but there are no methods to identify them at a genome-scale in vivo. Here we show that dynamic transcriptome and metabolome data identify metabolites that are potential effectors of transcription factors in E. coli. By switching the culture conditions between starvation and growth for 20 hours, we induced strong metabolite concentration changes and accompanying gene expression changes, which were measured by LC-MS/MS and RNA sequencing. From the transcriptome data we calculated the activity of 209 transcriptional regulators with Network Component Analysis, and then tested which metabolites correlated with these activities. This approach captured, for instance, the in vivo Hill-kinetics of CRP regulation by cyclic-AMP, a canonical example of allosteric transcription factor regulation in E. coli. By testing correlations between all pairs of transcription factors and metabolites, we predicted putative effectors of 71 transcription factors, and validated five of them in vitro. These results show that the combination of transcriptomics and metabolomics can generate hypotheses about metabolism-transcription interactions that are relevant in vivo and drive transitions between physiological states.
User: mlempp
metabolites,Mendelian Randomization with Biomarker Associations for Causality with Outcomes
Organization: ncbi-hackathons
metabolites,The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.
Organization: pmartr
Home Page: https://pmartr.github.io/pmartR/
metabolites,Python wrapper for ipath3
User: silask
metabolites,This repository contains an HTML file presenting a webpage with a table of metabolites of a pathway collected from WikiPathways.
User: tegestgaetti
metabolites,A computational tool for the prediction and identification of metabolites.
Organization: wishartlab-openscience
metabolites,Tools for Metabolomics and mass Spectrometry users
User: yonghuidong
Home Page: https://github.com/YonghuiDong/MSbox
metabolites,Microbe-Metabolite INteractions-based metabolic profiles Predictor
Organization: yulab-smu
Home Page: https://cran.r-project.org/package=MMINP
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