This page contains a collection of links that I find interesting and helpful for metabolomics and other omics research, especially if combined with genomics. This is my personal VIP bookmark list, newest entries listed first (more or less) [updated 19 February 2021].
LDLink – a suite of web-based applications designed to easily and efficiently interrogate linkage disequilibrium in population groups.
Explore data from UK Biobank provided by the Neale Lab:
- Heritability of >4,000 traits & disorders in UK Biobank
- Genetic correlation between traits and disorders in the UK Biobank
METABOLIC ATLAS – THE ATLAS FOR EXPLORATION OF METABOLISM
The Human Blood Atlas – single cell type information on genome-wide RNA expression profiles of human protein-coding genes covering various B- and T-cells, monocytes, granulocytes and dendritic cells.
EpiGraphDB – pQTL browser to perform MR PheWAS of protein effects on traits
Enrichr – an amazingly easy and comprehensive tool to compute gene-set enrichment.
g:Profiler – functional enrichment analysis
Gene CoDis – a gene set enrichment tool.
UK Biobank, links to pre-computed GWAS and PheWeb servers
BioBank Japan PheWeb
Neale Lab GWAS (example)
Oxford Big GWAS (example)
Gene Atlas GWAS (example)
UKBiobank ICD PheWeb: Analysis of 1403 ICD-based traits using SAIGE (top hits)
GWASbot Twitter account (TWITTER)
An atlas of polygenic burden associations across the human phenome (link)
ExPASy is the SIB Bioinformatics Resource Portal which provides access to scientific databases and software tools (i.e., resources) in different areas of life sciences including proteomics, genomics, phylogeny, systems biology, population genetics, transcriptomics etc. (see Categories in their menu). On this portal you find resources from many different SIB groups as well as external institutions.
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO and SRA.This is a great resource to investigate metabolically active genes [try NAT8 to find that it is specifically expressed in liver, and FADS1 to see its ubiquitous expression pattern] – the paper is here
“Annotated pQTLs – for details see here“
“Annotated mQTLs – for details see here“
“Annotated SNPs – for details see here“
“Annotated SNPs – similar to SNiPA”
“Annotated SNPs – similar to SNiPA”
“This web page accompanies the manuscripts titled ‘Disease variants alter transcription factor levels and methylation of their binding sites’, by Bonder et al. and ‘Identification of context-dependent expression quantitative trait loci in whole blood’, by Zhernakova et al, both have been published to Nature Genetics. You can query our independent eQTL, meQTL and eQTMs on this server.”
“The v2 data set (GRCh37/hg19) provided on this website spans 125,748 exome sequences and 15,708 whole-genome sequences from unrelated individuals sequenced as part of various disease-specific and population genetic studies.”
“The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project will collect and analyze multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs.”
“The Human Protein Atlas utilizes an antibody-based approach, using both in-house generated antibodies, as well as commercial antibodies from different providers. Antibodies are used for immunofluorescence staining on cell lines for determination of spatial distribution at a subcellular level, as well as for immunohistochemistry on tissue microarrays for distribution of the protein expression in normal and cancer tissues. The open access database contains millions of high-resolution images, released together with application-specific validation performed for each antibody. The database has been developed in a gene-centric manner with the inclusion of all human genes predicted from genome efforts. Search functionalities allow for complex queries regarding protein expression profiles, protein classes, and chromosome location.”
“SMPDB (The Small Molecule Pathway Database) is an interactive, visual database containing more than 618 small molecule pathways found in humans. More than 70% of these pathways (>433) are not found in any other pathway database. SMPDB is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics and systems biology.”
“Search&Color Pathway is an advanced version of the KEGG pathway mapping tool, where given objects (genes, proteins, compounds, glycans, reactions, drugs, etc.) are searched against KEGG pathway maps and found objects are marked in any background and foreground colors.” (see also Color Pathway; this is is an extension of the Search&Color Pathway tool, allowing multiple coloring of a selected pathway map).
R-packages and other interesting software packages
- Keras: an R wrapper for the Keras deep learning library (works with tensorflow)
- Pheweb: A tool to build multi-phenotype GWAS browsers
Kidney Interactive Transcriptomics
- AN ONLINE ANALYZER FOR KIDNEY SINGLE CELL DATASETS