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기타 생물 과학자

생명, 물리, 사회과학직 · 직무 역량 및 필수 스킬 · SOC 19-1029 · 18,131개 skills

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▶O*NET의 대표 작업 3개
  • Develop new software applications or customize existing applications to meet specific scientific project needs.
  • Communicate research results through conference presentations, scientific publications, or project reports.
  • Create novel computational approaches and analytical tools as required by research goals.

작업 데이터는 USDOL/ETA의 O*NET® 29.1 Database에서 발췌했으며 CC BY 4.0에 따라 사용됩니다.

bulk-rnaseq
31.5k
K-Dense-AIK-Dense-AI/scientific-agent-skills
End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCounts), assembles a gene-level counts matrix, then hands off to differential expression (pydeseq2), pathway/GSEA enrichment (pathway-enrichment), and publication figures (scientific-visualization). Use whenever the user has bulk RNA-seq reads or quant output and wants a complete, reproducible differential-expression workflow — e.g. "analyze my RNA-seq", "FASTQ to DESeq2", "run nf-core/rnaseq", "STAR/Salmon quantification", "build a counts matrix for DESeq2", or "go from reads to differentially expressed genes and enriched pathways". Routes between an nf-core/rnaseq (Nextflow) path and a standalone STAR/Salmon path, and covers experimental design, strandedness, and QC gates. For single-cell RNA-seq use the scanpy skill instead.