TRES – Transcription Regulation in Embryonic Stem Cell

TRES

:: DESCRIPTION

TRES is a novel web tool that predicts the likely upstream regulators for a given gene list.

::DEVELOPER

The Roslin Institute

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Server

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

TRES predicts transcription control in embryonic stem cells.
Pooley C, Ruau D, Lombard P, Gottgens B, Joshi A.
Bioinformatics. 2014 Jun 23. pii: btu399.

CellNet / CellNetR – Network Biology applied to Stem Cell Engineering

CellNet / CellNetR

:: DESCRIPTION

CellNet is a network biology-based computational platform that more accurately assesses the fidelity of cellular engineering than existing methodologies and generates hypotheses for improving cell derivations.

::DEVELOPER

Hu Li Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / Max OS X
  • R

:: DOWNLOAD

 CellNetR

:: MORE INFORMATION

Citation:

CellNet: network biology applied to stem cell engineering.
Cahan P, Li H, Morris SA, Lummertz da Rocha E, Daley GQ, Collins JJ.
Cell. 2014 Aug 14;158(4):903-15. doi: 10.1016/j.cell.2014.07.020.

LEVER – Stem Cell Segmentation, Tracking and Lineaging

LEVER

:: DESCRIPTION

LEVER (Lineage Editing and Validation) is a collection of software tools for analyzing the development of proliferating (dividing) cells in time-lapse microscopy image sequences. LEVER includes algorithms for segmentation, tracking and lineaging. LEVER also includes a user interface that allows the segmentation, tracking and lineaging results to be validated, with any errors in the automated processing easily identified and quickly corrected

CloneView is an incredibly useful tool for visualizing the results from the LEVER program together with the image data.

::DEVELOPER

computational image sequence analysis

:: SCREENSHOTS

LEVER

:: REQUIREMENTS

  • Windows
  • MatLab

:: DOWNLOAD

 LEVER

:: MORE INFORMATION

Citation

LEVER: software tools for segmentation, tracking and lineaging of proliferating cells.
Winter M, Mankowski W, Wait E, Temple S, Cohen AR.
Bioinformatics. 2016 Jul 16. pii: btw406.

SCANN 1.0 – Stem Cell Characterisation by Artificial Neural Network

SCANN 1.0

:: DESCRIPTION

SCANN is a suit of scripts of the Stem Cell Analysis and characterization by Neural Networks

::DEVELOPER

The CRCM’s Integrative Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows /MacOsX
  • Perl

:: DOWNLOAD

 SCANN

:: MORE INFORMATION

Citation

Methods Enzymol. 2009;467:229-45. doi: 10.1016/S0076-6879(09)67009-9.
Large scale transcriptome data integration across multiple tissues to decipher stem cell signatures.
Bidaut G, Stoeckert CJ Jr.

CellFinder 1.5.1 – Study Annotations, Bibliography, Gene and Protein Expression in Stem Cells and Derivatives

CellFinder 1.5.1

:: DESCRIPTION

CellFinder maps validated gene and protein expression, phenotype and images related to cell types. The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development.

::DEVELOPER

Computational Biology and Data Mining (CBDM) Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2014 Jan;42(Database issue):D950-8. doi: 10.1093/nar/gkt1264. Epub 2013 Dec 3.
CellFinder: a cell data repository.
Stachelscheid H1, Seltmann S, Lekschas F, Fontaine JF, Mah N, Neves M, Andrade-Navarro MA, Leser U, Kurtz A.

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