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bed-to-bam
Use when converting BED/GFF/VCF feature records to BAM format for visualization or downstream analysis.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when converting BED/GFF/VCF feature records to BAM format for visualization or downstream analysis.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | bed-to-bam |
| description | Use when converting BED/GFF/VCF feature records to BAM format for visualization or downstream analysis. |
| disable-model-invocation | true |
| user-invocable | true |
bedToBam -i intervals.bed -g genome.txt [options] > output.bam/home/vimalinx/miniforge3/envs/bio/bin/bedToBamreferences/help.md# 1) Convert BED to BAM
bedToBam \
-i peaks.bed \
-g genome.txt > peaks.bam
# 2) Set a custom mapping quality
bedToBam \
-i peaks.bed \
-g genome.txt \
-mapq 60 > peaks.mapq60.bam
# 3) Preserve BED12 blocks in CIGAR strings
bedToBam \
-i transcripts.bed12 \
-g genome.txt \
-bed12 > transcripts.bam
-bed12 only for true BED12 input where block-aware CIGAR is desired.samtools view or a genome browser before relying on it downstream.-i and -g are required.-bed12 assumes BED12 semantics; using it on non-BED12 input gives misleading BAM structure.255, which is a placeholder-like value rather than an empirical alignment score.-h for help; GNU-style --help / --version calls on these wrappers are noisy.Use when joint-genotyping one or more germline gVCFs into a cohort VCF with GATK GenotypeGVCFs.
Use when running GATK HaplotypeCaller to emit per-sample germline variant calls or gVCFs from analysis-ready BAM/CRAM inputs.
Use when splitting mixed accession-like text into one lowercase token per line in EDirect-style text pipelines.
Use when converting ACE assembly files into SAM while preserving legacy ACE-specific padded or contig-sequence behavior.
Use when pretty-printing tab-delimited output with left, center, right, or decimal-aware numeric alignment in EDirect text workflows.
Use when masking columns or coordinate ranges in multiple-sequence alignments before downstream HMMER or alignment-processing steps.