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.

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