EVAtool result report

Report time: {{stop_time}}

Input parameters:

    

  • Sample name: 
    • 
{{ sam_info.sam_name }}


  • ncRNA types: 
    • 
{{ sam_info.ncrna_list}}


  • Directory of result: 
    • 
{{ sam_info.sam_path }}


  • Config file for your analysis: 
    • 
{{ config }}

Analysis results:

Reads length distribution

The length distributions of the reads in the trimmed {{ sam_info.sam_name }} sample are showed as follow:

{% for item in body %} {% endfor%}
<15 15-30 30-40 >50 OutReads OutReads/TotalReads Total reads
{{ item.fi }} {{ item.thr }} {{ item.fo }} {{ item.fif }} {{ item.out_reads }}* {{ item.ratio }} {{ item.total }}


*: Sum of the read count which is defind in the config file (Default: ["tag_cut": "0"]).

Visualization

Line chart displays the distributions of the read length.

Proportion of reads in different ncRNAs

The proportion of reads in different small ncRNAs calculated by RDAA.

{% for item in body2 %} {% endfor%}
ncRNAType MappedTag ReadsRatio
{{ item.Category }} {{ item.MappedTag }} {{ item.Ratio }}



Visualization

The bar plot shows the ratio of reads for different ncRNAs.

Pie chart shows the proportion of reads for different ncRNAs and unmapped reads.

ncRNA(s) read count & RPM quantifications file

  • File name:

    • {{ sam_info.sam_name }}.{ RNA type }.exp

  • File content:

    • The format of these tab-delimited files is as follows: 
GeneSymbol      TagCount      RPM
piR-33043       21745         14126.22
piR-35982       872           566.48
piR-49143       3088          2006.06
piR-49144       2602          1690.34
piR-33044       2267          1472.71
piR-34536       114           74.06

Top 5 highly expressed RNAs from different ncRNAs

The top 5 highly expressed RNAs are displayed in the following table:

{% for item in all_top10 %} {% endfor%}
ncRNAType RNA name RPM Count
{{ item.type }} {{ item.rna }} {{ item.rpm }} {{ item.count }}



The abundance distributions of each ncRNA

The following plots shows the different ncRNA expression profile in extracellular vesicles.

{% for item in sam_info.ncrna_list %} {% endfor%}

The number of expressed RNAs detected in different types of ncRNA

The details are displayed in the following table:

{% for item in sam_info.ncrna_list %} {% endfor%}
ncRNAType Number
{{ item }} {{ num_rnas[item] }}



Visualization

The distribution of RNA expression quantity in different types of ncRNA.

Other results:

  • Fasta format of trimmed {{ sam_info.sam_name }}:

    • {{ sam_info.sam_name }}.fa

  • Trimmed file:

    • {{ sam_info.sam_name }}.fastq.trimmed.gz

  • Expression file:

    • {{ sam_info.sam_name }}.{RNA type}.exp

  • Mapping statistcs and result:

    • {{ sam_info.sam_name }}.{RNA type}.bowtie.stat

    {{ sam_info.sam_name }}.{RNA type}.genome.sort.bed.count

    {{ sam_info.sam_name }}.{RNA type}.genome.sort.bed

    {{ sam_info.sam_name }}.{RNA type}.genome.sort.bam

    {{ sam_info.sam_name }}.{RNA type}.genome.merge.bed

    {{ sam_info.sam_name }}.{RNA type}.genome.sort

    {{ sam_info.sam_name }}.{RNA type}.sam

    {{ sam_info.sam_name }}.{RNA type}.genome.bam

  • Unmapped reads:

    • {{ sam_info.sam_name }}.tag.unmapped

  • Classification of each reads (ncRNA & genome):

    • {{ sam_info.sam_name }}.tag.ncRNA.classification

    {{ sam_info.sam_name }}.tag.genome.classification

  • Annotation and unannotation reads:

    • {{ sam_info.sam_name }}.genome.annotation.info

    {{ sam_info.sam_name }}.region.unanno.genome.classification

    {{ sam_info.sam_name }}.genome.unanno.info

    {{ sam_info.sam_name }}.region.anno.genome.classification

  • Result report files:

    • distribution_of_ncRNA_type.png/pdf

    distribution_of_read_len.png/pdf

    Report_result.html

  • Log file:

    • evatools.log