bio-epitranscriptomics-m6a-peak-calling
4
总安装量
4
周安装量
#51103
全站排名
安装命令
npx skills add https://github.com/gptomics/bioskills --skill bio-epitranscriptomics-m6a-peak-calling
Agent 安装分布
trae
2
opencode
2
codex
2
windsurf
1
kimi-cli
1
Skill 文档
m6A Peak Calling
exomePeak2 (Recommended)
library(exomePeak2)
# Peak calling with biological replicates
result <- exomePeak2(
bam_ip = c('IP_rep1.bam', 'IP_rep2.bam'),
bam_input = c('Input_rep1.bam', 'Input_rep2.bam'),
gff = 'genes.gtf',
genome = 'hg38',
paired_end = TRUE
)
# Export peaks
exportResults(result, format = 'BED')
MACS3 Alternative
# Call peaks treating input as control
macs3 callpeak \
-t IP_rep1.bam IP_rep2.bam \
-c Input_rep1.bam Input_rep2.bam \
-f BAMPE \
-g hs \
-n m6a_peaks \
--nomodel \
--extsize 150 \
-q 0.05
MeTPeak
library(MeTPeak)
# GTF-aware peak calling
metpeak(
IP_BAM = c('IP_rep1.bam', 'IP_rep2.bam'),
INPUT_BAM = c('Input_rep1.bam', 'Input_rep2.bam'),
GENE_ANNO_GTF = 'genes.gtf',
OUTPUT_DIR = 'metpeak_output'
)
Peak Filtering
# Filter by fold enrichment and q-value
# FC > 2, q < 0.05 typical thresholds
awk '$7 > 2 && $9 < 0.05' peaks.xls > filtered_peaks.bed
Related Skills
- merip-preprocessing – Prepare data for peak calling
- m6a-differential – Compare peaks between conditions
- chip-seq/peak-calling – Similar concepts