If you use OmicShare Tools, we hope you cite it in the paper, for example: XXXX analysis was performed using the OmicShare tools, a free online platform for data analysis (http://www.omicshare.com/tools).
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newInteractoin analysis
- functional analysis
- basic graph visualization
- cluster analysis
- data mining
- sequence tools
- annotaion tools
- table tools
- My Collection
report_ternary_plot_enrich
Draw an enriched ternary map with a table data with a header
75 
Member Discounts
reportradar
Show the results of significant differences in data between the two comparison groups
120
Member Discounts
reportroc
ROC curve can be used to evaluate a binary classifier (such as biomarker)
80
Member Discounts
reportrda
Calculate and show the relationship among explanatory variables, response variables and samples
Members Only
reportcca
Calculate and show the relationship among explanatory variables, response variables and samples
Members Only
PCA
Convert linearly massive variables into several important variables and draw a two-dimension score plot.
100
Member Discounts
Correlation analysis between groups
Show the pairwise correlation of all elements between two tables
35
VIP Free
Correlation analysis within group
Calculate the pairwise correlation of all elements in the table
35
VIP Free
Letter identification column chart
Multiple comparisons were used to analyze differences between groups, and the degree of difference was indicated by letters.
5
VIP Free
paired differential expression analysis
Find out differential expression genes via edgeR based on paired relationship
10
VIP Free
paired t test
This tool is used to estimate whether two groups have significant difference via t-test based on paired relationship.
5
VIP Free
box_mul_sig
T-test and rank sum test were performed between multiple groups of samples, and a box plot was drawn. Significant differences between groups marked wi
5
VIP Free
box_two_sig
T test and rank sum test were performed between the two groups of samples, and a box plot was drawn. Significant differences were marked between the
5
VIP Free
tSNE
Reduce multiple samples to two-dimensional plane via the nonlinear reduction model. Not available for sing-cell data for the moment.
5
VIP Free
Broken axis histogram
Draw a Broken axis histogram chart with tabular data with a table head
5
VIP Free
Significance marker difference analysis（Multiple g
T-test and rank sum test were performed between multiple groups of samples, and significant differences between groups marked with significant differe
5
VIP Free
Significance marker difference analysis（Two groups
T test and rank sum test were performed between the two groups of samples, and significant differences were marked between the groups.
5
VIP Free
plantTFdb_annotation
align nucleic acid or protein sequence to plantTFdb to predicte TF families
1200
Member Discounts
AnimalTFDB annotation
align nucleic acid or protein sequences to animalTFBD to predicte TF families
1200
Member Discounts
Swiss-Prot annotation
align the query sequences to the Swiss-Prot protein database to obtain functional annotations
1800
Member Discounts
Pathway Enrichment Analysis
Pathway enrichment analysis in given gene sets comparing to the genome background.
30
VIP Free
rank_sum_test
this tool determine if two groups of data are significantly different from each other
5
VIP Free
GO enrichment analysis
Analyze GO terms that significantly enriched in a given gene set comparing to the genome background.
30
VIP Free
t-test
this tool determine if two groups of data are significantly different from each other
5
VIP Free
roc
ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system(e.g. biomarker)
5
VIP Free
Differential metabolites analysis
Differential metabolites analysis tool is used to screen out differential metabolites between two groups of samples.
5
VIP Free
OSGO
Plotting GO (gene ontology) annotations (the second level) in three GO ontologies from one or more groups of data.
5
VIP Free
Decoding SAM flag
Identify the properties of a read based on its SAM flag value or obtain a SAM flag value based on the reads properties.
0
Linear Regression plot
Plotting the relationship between a scalar dependent variable y and one explanatory variable x.
2
VIP Free
Differential Expression Analysis
Find out differentially expressed genes between two groups of data.
0
Three-dimension PCA
Convert linearly massive variables into several important variables and draw a three-dimension score plot.
5
VIP Free
Senior Scatter Plot
Demonstrate file data in a scatter plot with auxiliary lines and correlation coefficient.
5
VIP Free
GO enrichment analysis
Analyze GO terms that significantly enriched in a given gene set comparing to the genome background.
15
VIP Free
Pathway Enrichment Analysis
Pathway enrichment analysis in given gene sets comparing to the genome background.
15
VIP Free
Frequency Histogram
Demonstrate the frequency distribution of file data in a frequency histogram.
2
VIP Free
Two-dimension PCA
Convert linearly massive variables into several important variables and draw a two-dimension score plot.
10
VIP Free
BLAST-Two Sequences Alignment
Local alignment between two sequences to measure their similarity
5
VIP Free
CDS2protein
Translating CDS to protein according to the Standard Code (transl_table=1) or the Bacterial, Archaeal and Plant Plastid Code (transl_table=11)
2
VIP Free
Multiple tables merging
Merging more than two tables according to the merging type and default value.
2
VIP Free
Two tables merging
Merging two tables according to the merging type and default value.
2
VIP Free
