Data Analysis
Covers the whole arc from getting data to drawing a conclusion. The biology databases run from protein to pathway: UniProt and the Gene Ontology for sequences and function, RCSB PDB for 3D structures, the Human Protein Atlas for expression, KEGG and Reactome for pathways, Metascape for enrichment of a gene list, and ProteomeXchange and PRIDE for depositing and finding raw mass-spectrometry data — EMBL-EBI is the umbrella portal for all of them. The bioinformatics group is the analysis itself: NCBI and BLAST for sequences, Ensembl and the UCSC Genome Browser for genomes, STRING, GEPIA and GeneCards for interactions and expression, DAVID and Enrichr for enrichment, cBioPortal for cancer genomics; take scripting and method questions to Biostars, where most have been answered already. Data and computing covers general-purpose maths alongside public datasets — Wolfram Alpha, GeoGebra, then Kaggle, Google Dataset Search, Data Commons, Our World in Data, China's NBS, and ScienceDB for DOIs on Chinese scientific data. Research tools handles the literature itself: Zotero for references, Overleaf for typesetting, Elicit, Consensus, Connected Papers and Research Rabbit for review and citation graphs. Chemistry databases is PubChem for structures and properties. The calculators are the small things that sit open on a bench: hydropathy, peptide mass, fragment ions, gel recipes, plus a medical formula calculator. Look databases up by accession or PDB ID rather than by keyword — it is both faster and more accurate.
