script | description |
---|---|
download_raw_seq.py | download fastq.gz from ena instead of ncbi sra |
sra_download.py | if the project is absent from ena, then you can use this to download sra from ncbi, then it helps to extract fastq and rm sras |
build_genome_envrionment.sh | quickly build a well-equiped annotation environment |
genePredExtToSqlite3.py | build ceas annotation |
script | description |
---|---|
bw_fc.sh | normalise bigwig signal based on global |
bw_merge_mean.sh | merge many bws by mean to a single one |
cal_arrayValue_from_mnase_signal.py | arrayValue describes how well the nucleosome is positioned |
bamtobedpe.sh | turn pe bam to fragments |
bamtoreads.sh | turn pe bam to reads, with pairs in adjecent lines |
snpSelection.py | a script to split bam file based on snp, source from Yanghui () |
normalize_RNA_expression.py | normalize outputs from generalized counts files and a width file. **decrepted ** |
extract_log.py | extract logs of given format. It's a combination of other logs exctractor here |
extractCutSiteToBw.sh | extract cut sites of DNase-seq, for foot-print analysis |
script | description |
---|---|
bwcor.py | calculate bw signal correlation within bed regions |
peak_stat.py | a script to analyze frip |
region_enrichment.py | calculate how enriched of bed1 in regions defined in bed2 |
ucscHubTojbrowser2Config.py | jbrowser2 is a genome browser similiar with ucsc genome browser, but is quicker. the scripts turn ucsc hub file to jbrowser2 config. |
script | description |
---|---|
gtf_to_table.py | turn gtf to a tsv table, usefull for stat stringtie output |
get_idr_regions.py | output IDR regions based on alphafold and other process |
bed_to_matrix.sh | a script to combine bed6 files to a tsv, with 4th col as index |
tableStack.py | a script to combine tables together, vstack or hstack(merge, not complete) |
|
script | description |
---|---|
bw_summary_bed.py | summary bigwig file by mean in region of given bed. used bigwigAverageOverBed instead |
bw_summary_bed_bins.py | summary bigwig file by mean in the region of given bed and bin nums your input |
normaliseRNA_featureCounts.py | normalise out put of software featureCounts, but at first you have to turn the last column name to Reads. May decrept soon |
normalize_RNA_expression.py | normalise RNA expression by given count tsv (col |
normalize_homer_counts.sh | normalise software HOMER output of repeatsAnalyze repeats subcommand. |
vstack_files.py | [decrept] a script to vstack tabless |
get_from_ena.sh | use download_raw_seq.py instead,a script to download fastq from ena, source from wangwen and Reemann |
cellRangeoutv2Tomatrix.py | cellRange output are three files, which is not convient to process by you self. This helps you. |