TAIJI specifications

Information


Unique identifier OMICS_33037
Name TAIJI
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Perl, Python, R, Shell (Bash)
Computer skills Advanced
Stability Stable
Requirements
numpy, scikit-learn
Maintained Yes

Download


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Versioning


No version available

Maintainers


  • person_outline Yuanfang Guan
  • person_outline Hongyang Li

Publication for TAIJI

TAIJI institution(s)
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Department of Medicinal Chemistry, College of Pharmacy, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, Nephrology Division, University of Michigan, Ann Arbor, MI, USA
TAIJI funding source(s)
Supported by NSF 1452656: CAREER: On-line Service for Predicting Protein Phosphorylation Dynamics Under Unseen Perturbations; Michigan Institute for Data Science (MIDAS) grant: Michigan Center for Single-Cell Genomic Data Analytics.

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