Research & Science · Prioritization frameworks

Find needles in haystacks with SiftRank. An agent skill from noperator/siftrank.

noperator/siftrank

Transform GWAS signals into actionable drug targets and repurposing opportunities.

wu-yc/LabClaw

Query the Open Targets Platform for drug-target-disease associations.

QSong-github/DrugClaw

End-to-end post-GWAS causal inference pipeline orchestrating heritability partitioning, genetic correlation, Mendelian randomization with CHP-aware sensitivity (CAUSE / LHC-MR), colocalization…

GPTomics/bioSkills

Comprehensive computational validation of drug targets for early-stage drug discovery.

wu-yc/LabClaw

Maps GWAS-implicated loci to candidate effector (causal) genes by integrating variant-to-gene (V2G) features via Open Targets L2G (Mountjoy 2021), MAGMA gene-based association (de Leeuw 2015), FUMA…

GPTomics/bioSkills

Estimates SNP heritability and partitions it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level genotypes.

GPTomics/bioSkills

Medicinal chemistry screening filters for compound prioritization; use when you need to apply drug-likeness rules, PAINS/structural alerts, and complexity metrics to triage or optimize libraries.

aipoch/medical-research-skills

Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation.

brycewang-stanford/Auto-Empirical-Research-Skills

Monarch Initiative knowledge graph REST API for disease-gene-phenotype associations and cross-species orthology.

jaechang-hits/SciAgent-Skills

Query RegulomeDB v2 GET REST API to score variants for regulatory function and retrieve overlapping evidence (TF binding, histone marks, DNase peaks, footprints, motifs, eQTLs, chromatin state).

jaechang-hits/SciAgent-Skills

Generates complete comorbidity-oriented shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction.

aipoch/medical-research-skills

Generates complete conventional non-oncology bioinformatics research designs from a user-provided disease context, process-related gene family or biological theme, and validation direction.

aipoch/medical-research-skills

Generates complete conventional oncology bulk-transcriptome biomarker and hub-gene research designs from a user-provided cancer type and study direction.

aipoch/medical-research-skills

Generates complete cross-disease shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction.

aipoch/medical-research-skills