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plantTFdb注释

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

199

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

X2
135

Transposing the row and column in a table

97

Pick out data of interest from the input table

X2
191

Convert SVG images into other formats.

78

Identify the properties of a read based on its SAM flag value or obtain a SAM flag value based on the reads properties.

29

Covert fastq files to fasta files

42

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

X3000
7

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

X3000
2

Sequences annotation for PHI database.

X3000
7

align the query sequences to the GO database.

X3000
16

align the query sequences to the KEGG database.

X3000
14

align the query sequences to the NR database.

X3000
8

annotation for bacteria resistance protein in ARDB

X3000
2

annation for virulence factors in VFDB

X3000
4

Resistence gene annotation in CARD

X3000
1

Sequences annotation for COG database

X3000
6

Sequences annotation for KOG database

X3000
4

Sequences annotation for eggNOG database

X3000
2

Sequences annotation for Pfam database.

X3000
7

Sequences annotation for CAZy database.

X3000
2

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

X3000
6

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

X20
154

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

X20
120

Using the linear model to reduce the sample distance dimension display

X20
40

Demonstrate file data in a scatter plot.

X3
105

Demonstrate file data in a line chart.

X2
94

Demonstrate file data in a histogram.

X3
104

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

X3
73

Visualizing data with an area graph

X3
46

Visualizing data with a boxplot.

X3
194

Visualizing data with a bubble plot.

X3
157

A graphical representation of data matrix with colors.

X5
905

Shows all possible logical relations between different data sets

X5
556

Constructing directed molecular interaction networks.

X5
141

Displaying significant difference between two groups of data.

X3
358

Displaying significant difference between two groups of data.

X3
105

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

X3
51

Demonstrate file data in a senior bubble plot.

X5
404

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

X5
122

Constructing weighted molecular interaction networks.

X5
125

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

90

Demonstrate file data in a three-dimension scatter plot.

X2
82

Demonstrate file data in a pie chart.

107

Visualizing data with a Violin plot

X5
69

correlation analysis between transcriptome and proteome

X5
32

Using several table datas to draw a grouped violin diagram

X5
34

Draw a circus plot to display relationship between sample and taxa

X5
68

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

X5
396

Cluster data with similar properties.

X3
237

Cluster genes with similar expression patterns

X10
323

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

X5
160

Using the linear model to reduce the sample distance dimension display

X5
119

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

X5
83

cca

X3
48

Shows all possible logical relations between different data sets

X8
31

Find out differentially expressed genes between two groups of data.

X10
306

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

X5
164

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

X3
39

within groups

X3
67

Inter group

X3
71

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

X5
57

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

X3
16

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

X10
670

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

X10
663

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

X5
133

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

X5
174

An extremely versatile application for sequence reformatting.

X2
42

Calculate sequence length.

X2
57

Filter sequences with specific length.

X2
52

Cut out a designated section of sequence.

X1
57

Conversion between DNA and RNA

X2
45

Translating CDS to protein according to the Standard Code (transl_table=1) or the Bacterial, Archaeal and Plant Plastid Code (transl_table=11)

X2
58

Local alignment between two sequences to measure their similarity

X2
95

Multiple Sequences Alignment with Muscle program

X2
70