Citing OmicShare Tools:

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).



Enrichment bar chart

Enrichment analysis results draw bar plot .

10

8

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

9

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

5

tSNE

Reduce multiple samples to two-dimensional plane via the nonlinear reduction model. Not available for sing-cell data for the moment.

5

6

Broken axis histogram

Draw a Broken axis histogram chart with tabular data with a table head

5

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

12

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

7

ternary_plot

Draw a ternary graph with tabular data with a header.

10

12

plantTFdb_annotation

align nucleic acid or protein sequence to plantTFdb to predicte TF families

3000

13

CAZy annotation

Sequences annotation for CAZy database.

3000

7

Pfam annotation

Sequences annotation for Pfam database.

3000

13

eggNOG annotation

Sequences annotation for eggNOG database

3000

5

KOG annotation

Sequences annotation for KOG database

3000

9

COG annotation

Sequences annotation for COG database

3000

11

CARD annotation

Resistence gene annotation in CARD

3000

3

VFDB annotation

annation for virulence factors in VFDB

3000

5

ARDB annotation

annotation for bacteria resistance protein in ARDB

3000

3

NR Annotion

align the query sequences to the NR database.

3000

12

KEGG Annotation

align the query sequences to the KEGG database.

3000

37

GO Annotation

align the query sequences to the GO database.

3000

41

PHI annotation

Sequences annotation for PHI database.

3000

10

AnimalTFDB annotation

align nucleic acid or protein sequences to animalTFBD to predicte TF families

3000

2

Swiss-Prot annotation

align the query sequences to the Swiss-Prot protein database to obtain functional annotations

3000

10

UpSet Venn

Shows all possible logical relations between different data sets

8

42

pcoa

Using the linear model to reduce the sample distance dimension display

20

50

Pathway Enrichment Analysis

Pathway enrichment analysis in given gene sets comparing to the genome background.

20

170

rank_sum_test

this tool determine if two groups of data are significantly different from each other

3

20

circos

Draw a circus plot to display relationship between sample and taxa

5

87

GO enrichment analysis

Analyze GO terms that significantly enriched in a given gene set comparing to the genome background.

20

208

t-test

this tool determine if two groups of data are significantly different from each other

5

69

violin2

Using several table datas to draw a grouped violin diagram

5

43

Quadrant plot

correlation analysis between transcriptome and proteome

5

37

ICA

Inter group

3

105

ICA

within groups

3

96

Violin plot

Visualizing data with a Violin plot

5

87

cca/rda

cca

3

62

roc

ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system(e.g. biomarker)

3

51

nmds

Using the non-linear model to reduce the sample distance dimension display

5

96

pcoa

Using the linear model to reduce the sample distance dimension display

5

135

Differential metabolites analysis

Differential metabolites analysis tool is used to screen out differential metabolites between two groups of samples.

5

183

fq2fa

Covert fastq files to fasta files

0

46

OSGO

Plotting GO (gene ontology) annotations (the second level) in three GO ontologies from one or more groups of data.

5

194

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

32

Pie chart

Demonstrate file data in a pie chart.

0

120

Three-dimension scatter plot

Demonstrate file data in a three-dimension scatter plot.

2

84

Linear Regression plot

Plotting the relationship between a scalar dependent variable y and one explanatory variable x.

0

98

Weighted Interaction Network

Constructing weighted molecular interaction networks.

5

137

Differential Expression Analysis

Find out differentially expressed genes between two groups of data.

10

319

Three-dimension PCA

Convert linearly massive variables into several important variables and draw a three-dimension score plot.

5

170

Senior Scatter Plot

Demonstrate file data in a scatter plot with auxiliary lines and correlation coefficient.

5

126

COG/KOG Histogram

Draw a histogram using COG/KOG IDs or COG/KOG codes of genes.

5

142

Senior Bubble plot

Demonstrate file data in a senior bubble plot.

5

448

SVG Format Conversion

Convert SVG images into other formats.

0

88

Krona chart

Krona allows hierarchical data to be explored with zoomable pie charts.

3

54

MA plot

Displaying significant difference between two groups of data.

3

110

Volcano plot

Displaying significant difference between two groups of data.

3

398

Directed Interaction Network

Constructing directed molecular interaction networks.

5

148

GO enrichment analysis

Analyze GO terms that significantly enriched in a given gene set comparing to the genome background.

10

713

Pathway Enrichment Analysis

Pathway enrichment analysis in given gene sets comparing to the genome background.

10

716

Trend Analysis

Cluster genes with similar expression patterns

10

349

Venn

Shows all possible logical relations between different data sets

5

624

Heatmap

A graphical representation of data matrix with colors.

5

999

Bubble plot

Visualizing data with a bubble plot.

3

170

Boxplot

Visualizing data with a boxplot.

3

212

Area graph

Visualizing data with an area graph

3

47

Frequency Histogram

Demonstrate the frequency distribution of file data in a frequency histogram.

3

78

Histogram

Demonstrate file data in a histogram.

3

117

Line chart

Demonstrate file data in a line chart.

2

103

Scatter plot

Demonstrate file data in a scatter plot.

3

117

Hierarchical Cluster Analysis (HCA)

Cluster data with similar properties.

3

248

Two-dimension PCA

Convert linearly massive variables into several important variables and draw a two-dimension score plot.

5

429

MUSCLE-Multiple Sequences Alignment

Multiple Sequences Alignment with Muscle program

2

73

BLAST-Two Sequences Alignment

Local alignment between two sequences to measure their similarity

2

101

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

62

DNA/RNA Conversion

Conversion between DNA and RNA

2

47

Sequence Interception

Cut out a designated section of sequence.

1

61

Sequence Length Filtering

Filter sequences with specific length.

2

53

Sequence Length Calculator

Calculate sequence length.

2

60

Sequence Format Painter

An extremely versatile application for sequence reformatting.

2

43

Data filter

Pick out data of interest from the input table

2

204

Table transposition

Transposing the row and column in a table

0

107

Multiple tables merging

Merging more than two tables according to the merging type and default value.

2

139

Two tables merging

Merging two tables according to the merging type and default value.

0

211