Hello Friends,
I am dealing with an RNA-Seq Paired end data. My goal is to identify Differential expressed genes. While preprocessing the data I wanted to remove the . I used Trimmomatic command to filters out paired-end reads (PE) whose mean base quality is below 20 (AVGQUAL:20).
First I executed command which removes the Adapter sequence, It did remove the seq.
java -jar trimmomatic-0.33.jar PE -phred64 SRR1600265_1.fastq SRR1600265_2.fastq R1_pairedout.fastq R1_unpairedout.fastq R2_pairedout.fastq R2_unpairedout.fastq ILLUMINACLIP:/home/NSCLC/Trimmomatic-0.33/adapters/TruSeq3-PE-2.fa:2:30:10:1:trueTrimmomaticPE: Started with arguments: -phred64 SRR1600265_1.fastq SRR1600265_2.fastq R1_pairedout.fastq R1_unpairedout.fastq R2_pairedout.fastq R2_unpairedout.fastq ILLUMINACLIP:/home/NSCLC/Trimmomatic-0.33/adapters/TruSeq3-PE-2.fa:2:30:10:1:true
Multiple cores found: Using 16 threads
Using PrefixPair: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT' and 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'
Using Long Clipping Sequence: 'AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTA'
Using Long Clipping Sequence: 'AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC'
Using Long Clipping Sequence: 'GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT'
Using Long Clipping Sequence: 'TACACTCTTTCCCTACACGACGCTCTTCCGATCT'
ILLUMINACLIP: Using 1 prefix pairs, 4 forward/reverse sequences, 0 forward only sequences, 0 reverse only sequences
Input Read Pairs: 43254901 Both Surviving: 42693867 (98.70%) Forward Only Surviving: 1817 (0.00%) Reverse Only Surviving: 467152 (1.08%) Dropped: 92065 (0.21%)
TrimmomaticPE: Completed successfully
NOW the real challenge:
I am trying with Trimmomatic command for paired-end reads (PE) trims bases from the 3' end when the base quality is below 20 (TRAILING:20) and filters out reads which are shorter than 50 bases after trimming(MINLEN:50).
# java -jar trimmomatic-0.33.jar PE -phred64 R1_pairedout.fastq R2_pairedout.fastq R1_split_pairedout.fastq R1_split_unpairedout.fastq R2_split_pairedout.fastq R2_split_unpairedout.fastq LEADING:5 TRAILING:5 AVGQUAL:20
TrimmomaticPE: Started with aarguments: -phred64 R1_pairedout.fastq R2_pairedout.fastq R1_split_pairedout.fastq R1_split_unpairedout.fastq R2_split_pairedout.fastq R2_split_unpairedout.fastq LEADING:5 TRAILING:5 AVGQUAL:20
Multiple cores found: Using 16 threads
Input Read Pairs: 42693867 Both Surviving: 0 (0.00%) Forward Only Surviving: 0 (0.00%) Reverse Only Surviving: 0 (0.00%) Dropped: 42693867 (100.00%)
I am not able to understand why trimmomatic not able to trim my reads. Please let me know your opinion.I might sound stupid, but I am Learning things. Thanks for your kind help
P.S: I started with SRA file paired end file --> Split it into reverse and forward bases --> run FASTQC on individual reads --> check for sequence quality for individual reads--> trim/filter for low bases using trimmomatic (for individual file each time.)..Let me know if this flow is correct.
"While preprocessing the data i wanted to remove the ."
the adapters ?
Are you sure phre64 is correct? Illumina is not using this anymore and I am not sure if the SRA tools ever used it.