Hello, I am a novice graduate student conducting RNA-seq analysis. The following are the results obtained using the STAR code.

# STAR
STAR \
--readFilesIn run_clean_1.fastq.gz run_clean_2.fastq.gz \
--genomeDir STAR_genomeGenerate \
--readFilesCommand zcat \
--runThreadN 10 \
--twopassMode Basic \
--outFilterMultimapNmax 20 \
--alignSJoverhangMin 8 \
--alignSJDBoverhangMin 1 \
--outFilterMismatchNmax 999 \
--outFilterMismatchNoverLmax 0.1 \
--alignIntronMin 20 \
--alignIntronMax 1000000 \
--alignMatesGapMax 1000000 \
--outFilterType BySJout \
--outFilterScoreMinOverLread 0.33 \
--outFilterMatchNminOverLread 0.33 \
--limitSjdbInsertNsj 1200000 \
--outFileNamePrefix STAR/run \
--outSAMstrandField intronMotif \
--outFilterIntronMotifs None \
--alignSoftClipAtReferenceEnds Yes \
--quantMode TranscriptomeSAM GeneCounts \
--outSAMtype BAM Unsorted \
--outSAMunmapped Within \
--genomeLoad NoSharedMemory \
--chimSegmentMin 15 \
--chimJunctionOverhangMin 15 \
--chimOutType Junctions SeparateSAMold WithinBAM SoftClip \
--chimOutJunctionFormat 1 \
--chimMainSegmentMultNmax 1 \
--outSAMattributes NH HI AS nM NM ch
done

# Output
# run.Aligned.out.bam
# run.Aligned.toTranscriptome.out.bam
# run.Chimeric.out.junction
# run.Chimeric.out.sam
# run.Log.final.out
# run.Log.out
# run.Log.progress.out
# run.ReadsPereGene.out.tab
# run.SJ.out.tab

Among these results, I would like to use DESeq to identify DEGs (differentially expressed genes) and I understand that ReadsPerGene is commonly used for that purpose. I am curious if the remaining files, such as Aligned.out.bam and Aligned.toTranscriptome.out.bam, are not necessary for my analysis.