Biology & Genomics

Design two-sample Mendelian randomization studies with IVW and robustness checks

Plan two-sample Mendelian randomization studies from a research question to a paper

Search UniProtKB, fetch protein entries and map identifiers across databases

Annotate gene variants with ClinVar and dbSNP records

Combine REVEL, CADD and PolyPhen scores to predict variant pathogenicity

Detect Western blot bands and quantify them against loading controls

Build WGCNA co-expression modules from bulk expression and correlate them with traits

Look up purchasable ZINC compounds by ID or SMILES and download docking-ready structures

Design and audit tissue, cell, organoid and animal validation experiments

Interpret mechanisms behind imaging and genomic links with competing explanations

Run and audit bulk, single-cell and spatial RNA workflows with traceable quality checks

Profile drug candidates for ADMET, drug-likeness and CYP interactions

Map chemicals to adverse outcome pathways from molecular event to organ toxicity

Explore cellular senescence, aging hallmarks and senolytic drug candidates

Humanize, affinity-mature and de-risk therapeutic antibodies from lead to candidate

Find small-molecule binders for protein targets through virtual screening and filtering

Discover bioinformatics tools, APIs and R packages before writing analysis code

Answer biomedical fact questions by querying gene, drug and disease databases

Analyze TCGA cancer genomics for mutation frequencies, survival and cohorts

Choose and profile cancer cell lines using DepMap, COSMIC and drug sensitivity data

Look up compound names as SMILES, InChI and CIDs from PubChem and ChEMBL

Assess chemical hazards and toxicity using CTD, GHS and IARC data

Find chemical vendors and in-stock analogs in ZINC, Enamine and eMolecules

Compare genes across species with orthologs, paralogs and conservation data

Solve pharmacokinetics, enzyme kinetics and epidemiology problems from first principles

Analyze CRISPR knockout screens with MAGeCK scores, QC and hit prioritization

Annotate DEGs and GWAS hits with gene function, pathways and disease context

Trace how a drug acts from primary target to pathway and clinical effect

Score drug pairs as synergistic or antagonistic using Bliss, Loewe and Chou-Talalay

Score targets for druggability, selectivity and safety with a go or no-go verdict

Look up species, invasions and conservation status using GBIF and IUCN

Find cryo-EM maps, atomic models and micrograph datasets for a protein complex

Design de novo enzymes by scaffolding catalytic motifs and triaging the designs

Fit Michaelis-Menten kinetics and inhibition models to enzyme velocity data

Analyze DNA methylation, ChIP-seq, ATAC-seq and chromatin data end to end

Query ENCODE and Roadmap chromatin data for histone marks and TF binding

Find RNA-seq and microarray datasets from ArrayExpress and BioStudies

Run FastQC and MultiQC on raw reads and decide on adapter and quality trimming

Rank CRISPR and shRNA screen hits by essentiality, druggability and clinical evidence

Score gene-disease links across DisGeNET, OpenTargets, OMIM and Orphanet

Run GO, KEGG and Reactome enrichment with ORA and GSEA on gene lists

Infer which transcription factors regulate a gene using motifs, ChIP-seq and eQTLs

Look up glycan structures, masses and glycosylation sites in GlyGen

Classify GPCR ligands as agonists, antagonists or biased agonists using GPCRdb

Turn GWAS loci into druggable targets and existing drug repurposing options

Fine-map GWAS loci with SuSiE and FINEMAP to find causal variants and genes

Explain what a GWAS SNP does using eQTL, ClinVar and gnomAD evidence

Compare GWAS studies, run meta-analyses and check whether signals replicate

Map GWAS traits to causal genes with Open Targets L2G locus-to-gene scores