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

rnaseq/step3_align/snippet.sh

@@ -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/$(whoami)/rnaseq"
-# Store genome index in this location:.
+# Store the generated `sample1_Aligned.sortedByCoord.out.bam` in this dir.
-GENOME_INDEX="${PROJECT_DIRECTORY}/step3/genome_index"
+ALIGNMENT_OUTPUT="${PROJECT_DIRECTORY}/step3/alignment"
-mkdir -p "${GENOME_INDEX}"
-# Store the generated `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.,
+# - If you're using gzip compressed reference data, i.e., .gtf.gz and fa.gz,
-#   .gtf.gz and fa.gz. If not, you can remove the `zcat` flag.
+#   pass the `--readFilesCommand zcat` flag.
 
-# Storage location reference data (in this case on Gearshift).
+# Store created genome index in this location:.
-REFERENCE_DATA="/groups/umcg-griac/prm03/rawdata/reference/genome"
+GENOME_INDEX="${PROJECT_DIRECTORY}/step3/genome_index"
-GTF_FILE="${REFERENCE_DATA}/Homo_sapiens.GRCh38.100.gtf.gz"
+mkdir -p "${GENOME_INDEX}"
-FASTA_FILE="${REFERENCE_DATA}/Homo_sapiens.GRCh38.dna.primary_assembly.fa.gz"
+
+# 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_"

rnaseq/step5_count/snippet.sh

@@ -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