Dear friends,
I am new to the program qiime and having trouble to process the .fastq files downloaded from the NCBI website so that I can perform downstream analysis in qiime.
For our data, we have one .fastq file for one sample. The example read in the .fastq file is as below:
@SRR1023137.1 HPZ94RL02G0U1W length=532
TCAGTCATAGACACCTACCGGGTATCCGAATCCTGTTTGCTTCCCCACGCCTTTCGAGTCCTCAGCGTCAGTTACAAGCCAGAGAGCCGCTTTCGCCTACCGGTGTTCCTCCATATATCTACGCATTTCACCGTCTACACATGGAATTCCACTTCTCCCCTCTTCGCACTCAAGTTAAACAGTTTTCCAAAGTCGTACTATGGTTAAGCCACAGCCTTTAACTTCTAGACTTATCTTAACCGCCTGCGCTCGCTTTACGCCCTAATAACTCCGGACAACGGCTCGGGACCTACGGTATTACCGCGGCTGCTGGCACGTAGTTAGCCGTCCCTTTCTCGGTTAAGATACCGTCACAGTGTGAACTTTCCACTCTCACACTCGTTCTTCTCTTACAACAGAGCTTTTACGATCCGAAAACCTTACTTCACTCACGCGGCGTTGCTCGGTCAGACTTCCGTCCATTGCCGAAGACTTCCCCACTGCTCGCCCCTGAGACTGCCAAGGGCACACAGGGGGGATAGGGGNNGNNNNN
+SRR1023137.1 HPZ94RL02G0U1W length=532
FFFFFFFA@?DB<<<<<880004<?88988ABDDFFCDEFFF;:77A9A<<10000>=<8666<>>???400034>844277669=<932...34667:566668220003899<<???<<<@@?444<44444>=988<==;;66222400000<4577A9AAA?=<<<=973--,,,...,,,,--334:::6445:A?<<<<@BB5555??DB=;;AAB>8554989>>?<4.000<<<=<777<<??98000/3=511311-...---55767--..376666<<<?830004223;9:2.0044><889>?444<<====<43222666//...22;622344448@BBDDDDD?==D?>>888=DD>>?DB====>=8888888<>;64467503,,,,3430,,,72233;;22-2001276467774558::1224::11224---888600222227433,,,,,....0-0000,,,...000..00000,,,,,0011..,,,,,,1332222!!2!!!!!
@SRR1023137.2 HPZ94RL02JBWQM length=516
TCAGTCATAGACACCTACCAGGGTATCTAATCCTGTTTGCTCCCCACGCTTTCGAGCCTCAGCGTCAGTTACAAGCCAGAGAGCCGCTTTCGCCACCGGTGTTCCTCCATATATCTACGCATTTCACCGCTACACATGGAATTCCACTCTCCCCTCTTGCACTCAAGTTAAACAGTTTCCAAAGCGTACTATGGTTAAGCCACAGCCTTTAACTTCAGACTTATCTAACCGCCTGCGCTCGCTTTACGCCCAATAAATCCGGACAACGCTCGGGACCTACGTATTACCGCGGCTGCTGGCACGTAGTTAGCCGTCCCTTTCTGGTAAGATACCGTCACAGTGTGAACTTTCCACTCTCACACTCGTTCTTCTCTTACAACAGAGCTTTACGATCCGAAAACCTTCTTCACTCACGCGGCGTTGCTCGGTCAGACTTCCGTCCATTGCCGAAGATTCCTCACTGCTGCCTCCCCTGAGACTGCCCAAAGGGCACACAGGGGGGAGTAGGGNNNNNNN
+SRR1023137.2 HPZ94RL02JBWQM length=516
IIIIIIIIIIIIIIIIIIII666;EIIIIIIIIII:::IB:3311A7IFB@BHIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIHHHIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIHHHIIIIIIIIIIIIIGGGGIIIIIIIII@@@@IIIIIIIIIIIIIIIHHHIIICCCIIHHHIIIIIIIIIIIIIIIIIGGGGIIIHHHIIIIIIIIIIIIIIIIIICCCIIIIIIIIIIIH;;;?GHHEIIIEHHGCCCCIIIIIIIIIHHHIIIIIIIIIIIIIIIIIIIIIIIGGGIIIIC?=;@CDD;711133=;DEEIIIIIIIIIIIIIIIIIIIGGGIHHHIIIIIIIIIIIIIIIIIIIIIIIIIIIIEEIII?95559=IEGDDD;>>>;;>?;EEE>;<>@AGA===;>>=>A?>:::>><>AA??:777::>AAA@AA@@>>>>==A9:8<<<778----788<=<<<335000555AA@==<006662=)54444!!!!!!!
Thank
you very much.
Best,
Jian
3. Because I have one .fastq per sample and I have ~100 such .fastq files, do I need to covert all the files to .fasta, merge all the .fasta files into one .fasta, and then run pick_open_reference_otus.py? Or I can run pick_open_reference_otus.py for each sample and then there is a way to combine the OTU tables together?
can I run pick_open_reference_otus.py for each sample
multiple_split_libraries_fastq:phred_offset 33
split_libraries_fastq:phred_offset 33