COBI Lab - TimesVector



TimesVector Web service

: A vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes
The analysis of time series transcriptome data

Input Data

The uploaded data and their results will be kept for 2 days. After 2 days, all related data will be automatically deleted.


Number of time points Number of conditions Number of genes Replicates
Info

Use only protein coding genes

Yes No

Data type

Microarray RNA-seq

Do you need Normalization?

Yes No


Number of clusters (K)

Max k


(The numbers of clusters (K) is optional. If K is not given, an optimal K is automatically detected using the K-test. The chosen K will be informed in the summary page in the output panel.)

Organism



Case study examples
  • Data for each case study will be downloaded
  • Parameters for each case study will be set automatically
  • After clicking a case study button, the downloaded time-course files need to be uploaded as input-data before executing the analysis.
CASE STUDY1
CASE STUDY2
CASE STUDY3


Short cut

Code

  • If you have shortcut code you can see the result as program finished

  • Case study 1 short cut code: CASE_STUDY_1
  • MTc1LjEyNy4xNTMuMjE5XzEyMTkyMTExMjA1OA==
  • Case study 2 short cut code: CASE_STUDY_2
  • MTc1LjEyNy4xNTMuMjE5XzEyMTkyMTExMjI1Ng==
  • Case study 3 short cut code: CASE_STUDY_3
  • MTU1LjIzMC4yOS4yMjVfMTIxOTIxMTc0NTI4