Added htseq-count snippet + updated STAR snippet indicating prebuilt genome index.

This commit is contained in:
Hylke C. Donker 2021-02-25 12:40:17 +01:00
parent 4443b3c2a9
commit e852072235
2 changed files with 44 additions and 14 deletions

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@ -2,33 +2,42 @@
#
# Align reads against reference genome.
REFERENCE_DATA="/groups/umcg-griac/prm03/rawdata/reference/genome"
PROJECT_DIRECTORY="/groups/umcg-griac/tmp01/rawdata/$(whoami)/rnaseq"
# Store genome index in this location:.
GENOME_INDEX="${PROJECT_DIRECTORY}/step3/genome_index"
mkdir -p "${GENOME_INDEX}"
# Store the generated `Aligned.sortedByCoord.out.bam` in this dir.
ALIGNMENT_OUTPUT="${PROJECT_DIRECTORY}/step3/alignment/"
# Store the generated `sample1_Aligned.sortedByCoord.out.bam` in this dir.
ALIGNMENT_OUTPUT="${PROJECT_DIRECTORY}/step3/alignment"
mkdir -p "${ALIGNMENT_OUTPUT}"
# 1) Generate genome index.
# 1) Generate genome index (optional).
#
# Depending on your read size, reference genome and annotation, you may need to
# generate a new genome index. In most cases, this is not necessary and you can
# directly use the pre-build genome index from the cluster:
#
# GENOME_INDEX="${REFERENCE_DATA}/index_GRCh38_gtf100_overhang100"
#
# and ignore the first STAR command below.
#
# N.B.:
# - We're assuming a read size of 100 bp (--sjdbOverhang 100). An alternative
# cut-off is 150, for low-input methods. In general, refer back to the
# previous quality control steps if you are unsure about the size. In case of
# reads of varying length, the ideal value is max(ReadLength)-1.
# - We're using gzip compressed reference data (--readFilesCommand zcat), i.e.,
# .gtf.gz and fa.gz. If not, you can remove the `zcat` flag.
# - If you're using gzip compressed reference data, i.e., .gtf.gz and fa.gz,
# pass the `--readFilesCommand zcat` flag.
# Storage location reference data (in this case on Gearshift).
REFERENCE_DATA="/groups/umcg-griac/prm03/rawdata/reference/genome"
GTF_FILE="${REFERENCE_DATA}/Homo_sapiens.GRCh38.100.gtf.gz"
FASTA_FILE="${REFERENCE_DATA}/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz"
# Store created genome index in this location:.
GENOME_INDEX="${PROJECT_DIRECTORY}/step3/genome_index"
mkdir -p "${GENOME_INDEX}"
# Storage location reference data on Gearshift.
GTF_FILE="${REFERENCE_DATA}/Homo_sapiens.GRCh38.100.gtf"
FASTA_FILE="${REFERENCE_DATA}/Homo_sapiens.GRCh38.dna.primary_assembly.fa"
STAR \
--runThreadN 8 \
--runMode genomeGenerate \
--readFilesCommand zcat \
--sjdbOverhang 100 \
--genomeFastaFiles ${FASTA_FILE} \
--sjdbGTFfile ${GTF_FILE} \
@ -51,4 +60,4 @@ STAR \
--readFilesIn "${R1}" "${R2}" \
--outSAMtype BAM SortedByCoordinate \
--genomeDir ${GENOME_INDEX} \
--outFileNamePrefix "${ALIGNMENT_OUTPUT}"
--outFileNamePrefix "${ALIGNMENT_OUTPUT}/sample1_"

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@ -0,0 +1,21 @@
#!/bin/bash
PROJECT_DIRECTORY="/groups/umcg-griac/tmp01/rawdata/$(whoami)/rnaseq"
COUNT_OUTPUT="${PROJECT_DIRECTORY}/step5"
mkdir -p "${COUNT_OUTPUT}"
# Storage location of annotation on Gearshift.
REFERENCE_DATA="/groups/umcg-griac/prm03/rawdata/reference/genome"
GTF_FILE="${REFERENCE_DATA}/Homo_sapiens.GRCh38.100.gtf"
# Where our alignment file was stored.
BAM="${PROJECT_DIRECTORY}/step3/alignment/sample1_Aligned.sortedByCoord.out.bam"
# Compute counts using htseq-count.
#
# N.B.:
# - If you are processing multiple files, you can use the --nprocesses flag to
# compute the files in parallel.
htseq-count \
${BAM} \
${GTF_FILE} \
> ${COUNT_OUTPUT}/counts.txt