Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.
ClaudeCodexOpenClawData & Analytics
Agent skill for Data Scientist, Business Intelligence Analyst, Researcher, published by BioTender-max. Project details and file access are provided by the publisher.
ClaudeCodexOpenClawData & Analytics
BioTender-max
Agent skill for Researcher, Data Scientist, ML / AI Engineer, published by BioTender-max. Project details and file access are provided by the publisher.
ClaudeCursorChatGPTEducation & Research
BioTender-max
Agent skill for Data Analyst, ML / AI Engineer, Researcher, published by FridrichMethod. Project details and file access are provided by the publisher.
Data & Analytics
Agent skill for Data Analyst, ML / AI Engineer, Researcher, published by Rudson-Oliveira. Project details and file access are provided by the publisher.
ClaudeCodexCursorData & Analytics
Agent skill for Data Analyst, Business Intelligence Analyst, Researcher, published by GPTomics. Project details and file access are provided by the publisher.
Data & Analytics
Agent skill for Data Analyst, Data Scientist, ML / AI Engineer, published by BioTender-max. Project details and file access are provided by the publisher.
Data & Analytics
BioTender-max
Orchestrates an end-to-end MeRIP-seq / m6A-seq analysis from raw FASTQ to differential m6A peak calls and metagene plots, chaining fastp adapter trimming, STAR splice-aware genome alignment (NO deduplication for non-UMI MeRIP), deepTools replicate-concordance + IP-enrichment QC, PreSeq saturation...
ClaudeCodexOpenClawData & Analytics
Identify differentially accessible chromatin regions across conditions using DiffBind, csaw, DESeq2, or edgeR. Use when comparing ATAC-seq accessibility between treatment groups, choosing between consensus-peak vs sliding-window approaches, picking the correct normalization (full library vs reads...
ClaudeCodexOpenClawData & Analytics
Batch effect correction for CRISPR screens covering ComBat empirical-Bayes, RUV, SVA, control-sgRNA normalization, and the model-based alternative of including batch as a covariate in MAGeCK MLE or Chronos. Covers screen-specific batch sources (passage cohort, library lot, infection day, sequenci...
ClaudeCodexOpenClawData & Analytics
Creates DE-specific diagnostic and result visualizations using DESeq2/edgeR built-in functions and lightweight ggplot2 wrappers. Covers MA plot (with the shrunken-LFC compression effect), volcano (with the apeglm caveat that p-values are unchanged), PCA on VST/rlog (never raw counts), sample dist...
ClaudeCodexOpenClawData & Analytics
Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical...
ClaudeCodexOpenClawData & Analytics