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).
- category：
- All Tools
- table tools
-
Interactoin analysis
- functional analysis
- basic graph visualization
- cluster analysis
- data mining
- sequence tools
- annotaion tools
- My Collection
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
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
tSNE
Reduce multiple samples to two-dimensional plane via the nonlinear reduction model. Not available for sing-cell data for the moment.
5
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
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
plantTFdb_annotation
align nucleic acid or protein sequence to plantTFdb to predicte TF families
3000
AnimalTFDB annotation
align nucleic acid or protein sequences to animalTFBD to predicte TF families
3000
Swiss-Prot annotation
align the query sequences to the Swiss-Prot protein database to obtain functional annotations
3000
Pathway Enrichment Analysis
Pathway enrichment analysis in given gene sets comparing to the genome background.
20
rank_sum_test
this tool determine if two groups of data are significantly different from each other
3
GO enrichment analysis
Analyze GO terms that significantly enriched in a given gene set comparing to the genome background.
20
roc
ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system(e.g. biomarker)
3
Differential metabolites analysis
Differential metabolites analysis tool is used to screen out differential metabolites between two groups of samples.
5
OSGO
Plotting GO (gene ontology) annotations (the second level) in three GO ontologies from one or more groups of data.
5
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.
0
Differential Expression Analysis
Find out differentially expressed genes between two groups of data.
10
Three-dimension PCA
Convert linearly massive variables into several important variables and draw a three-dimension score plot.
5
Senior Scatter Plot
Demonstrate file data in a scatter plot with auxiliary lines and correlation coefficient.
5
GO enrichment analysis
Analyze GO terms that significantly enriched in a given gene set comparing to the genome background.
10
Pathway Enrichment Analysis
Pathway enrichment analysis in given gene sets comparing to the genome background.
10
Frequency Histogram
Demonstrate the frequency distribution of file data in a frequency histogram.
3
Two-dimension PCA
Convert linearly massive variables into several important variables and draw a two-dimension score plot.
5
BLAST-Two Sequences Alignment
Local alignment between two sequences to measure their similarity
2
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
Multiple tables merging
Merging more than two tables according to the merging type and default value.
2
