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--- population-diversity:microbiome-analysis-with-qiime2-using-illumina-paired-end-sequence-data [2020/04/29 14:36] – [Qiime2 data filtering and feature (OTU) table construction] bngina
+++ population-diversity:microbiome-analysis-with-qiime2-using-illumina-paired-end-sequence-data [2020/04/29 14:53] – [Qiime2 data filtering and feature (OTU) table construction] bngina
@@ Line 60: / Line 60: @@
 The other key parameters in quality control of the sequences are those used to trim the forward, ''--p-trim-left-f''; ''--p-trunc-len-f'' and reverse '' --p-trim-left-r''; ''--p-trunc-len-r'' reads. The //''--p-trim-left-[f/r]''// tell qiime how many bases to trim from the beginning of the sequence, while the //''--p-trunc-len[f|r]''// tell qiime at what position the sequences should be truncated at the end.
-To determine the truncate length, look at the imported reads, t
+To determine what values to pass for these two parameters;
+  *Review the Interactive Quality Plot tab in the //''demux.qzv''// file that was generated by ''qiime demux summarize'' after importing the data to trim of the poor quality bases.
+  *The expected fragment size after the reads are joined, particularly for the //''--p-trunc-len[f|r]''//.  Refer to the expected fragment length for the primers used to prepare the libraries for sequencing. For example if the expected fragment length for your sequences is 465bp, and lets say the insert size during the sequencing was 300bp. We would want to have a final length of at least 465by or more to have better chances of final sequences of full length for the alignment.