Thanks Albert. I will try that.
Hi Community users,
I have single-end reads fastq file. I have generated denovo assembly using velvet/oases. Now I need to check how good is my assembly. So I am using aligner, bowtie. But I am confused which fasta file to use for creating bowtie index i.e. shall I used contigs.fa from velveg or transcript.fa file from oases.
Do you guys prefer --best parameter option while running bowtie?
I would really appreciate your feedback and reponse.
Thanks,
Naresh
1 answer
Use both and compare the results.
Plus use bwa-mem instead of bowtie, that way your reads will align across junctions even for the contigs.fa file.
Hi Albert, I tried bowtie with contigs.fa file, but I got only 6% alignment. Now I am trying to run with transcripts.fa. Any suggestion why alignment rate is so low. Fastq file used for alignment was trimmed to get better quality.
Thanks in advance. Naresh
that's why I said use bwa-mem
ohh ok. Thanks.
Hi Albert,
As per your advice I used bwa-mem for alignment it work out very well. It think I got 79% align. Can you please check my flagstat output. If I am interpreting result in correct manner.
If it is 79% align can you please help me how can I improve alignment above 90% by adding more parameter.
I used following cmd:
##bwa index contigs.fa
##bwa mem contigs.fa CombineIonXpressRNA_009_NareshPool_Chip1_2_WT1_fastx_trimmer_from_quality_trimmer_file.fastq > aln-se.sam
##samtools view -bS aln-se.sam > aligned_reads.bam
##samtools flagstat aligned_reads.bam
34569162 + 0 in total (QC-passed reads + QC-failed reads)
0 + 0 duplicates
27555361 + 0 mapped (79.71%:-nan%)
0 + 0 paired in sequencing
0 + 0 read1
0 + 0 read2
0 + 0 properly paired (-nan%:-nan%)
0 + 0 with itself and mate mapped
0 + 0 singletons (-nan%:-nan%)
0 + 0 with mate mapped to a different chr
0 + 0 with mate mapped to a different chr (mapQ>=5)
Appreciate your help.
Thanks,
Naresh
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