Introduction
Publications
SV-STAT accurately detects structural variation via alignment to reference-based assemblies.
Cite this
Credits
- Caleb F Davis Developer
Structural and Computational Biology and Molecular Biophysics (SCBMB) Program, Baylor College of Medicine
- Deborah I Ritter Developer
Texas Children's Cancer Center, Baylor College of Medicine
- David A Wheeler Developer
Structural and Computational Biology and Molecular Biophysics (SCBMB) Program, Baylor College of Medicine
- Hongmei Wang Developer
Texas Children's Cancer Center, Baylor College of Medicine
- Yan Ding Developer
Human Genome Sequencing Center, Baylor College of Medicine, United States of America
- Shannon P Dugan Developer
Human Genome Sequencing Center, Baylor College of Medicine, United States of America
- Matthew N Bainbridge Developer
Structural and Computational Biology and Molecular Biophysics (SCBMB) Program, Baylor College of Medicine
- Donna M Muzny Developer
Human Genome Sequencing Center, Baylor College of Medicine, United States of America
- Pulivarthi H Rao Developer
Texas Children's Cancer Center, Baylor College of Medicine
- Tsz-Kwong Man Developer
Structural and Computational Biology and Molecular Biophysics (SCBMB) Program, Baylor College of Medicine
- Sharon E Plon Developer
Texas Children's Cancer Center, Baylor College of Medicine
- Richard A Gibbs Developer
Structural and Computational Biology and Molecular Biophysics (SCBMB) Program, Baylor College of Medicine
- Ching C Lau Investigator
Structural and Computational Biology and Molecular Biophysics (SCBMB) Program, Baylor College of Medicine
Community Ratings
Usability | Efficiency | Reliability | Rated By |
---|---|---|---|
0 user | |||
Sign in to rate |
Accession | BT001827 |
---|---|
Tool Type | Application |
Category | |
Platforms | Linux/Unix |
Technologies | Perl |
User Interface | Terminal Command Line |
Download Count | 0 |
Submitted By | Ching C Lau |