BacPaCS specifications


Unique identifier OMICS_32863
Name BacPaCS
Alternative name Bacterial Pathogenicity Classification via sparse-SVM
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License MIT License
Computer skills Advanced
Version 0.1.1
Stability Stable
CD-HIT, numpy, scipy, scikit-learn, biopython
Maintained Yes




No version available


  • person_outline Michal Ziv-Ukelson
  • person_outline Sivan Sabato

Publication for Bacterial Pathogenicity Classification via sparse-SVM

BacPaCS citations


Behaviors in Advance Care Planning and ACtions Survey (BACPACS): development and validation part 1

PMCID: 5700663
PMID: 29166904
DOI: 10.1186/s12904-017-0236-6

[…] This study provided evidence for content and response process validity for a new tool used to measure patient engagement with ACP called the Behaviours in Advance Care Planning and ACtions Survey (BACPACS). The highly systematic approach to the development and validation of this tool ensures the tool is not only based on a solid theoretical framework that approaches ACP as a range of behaviors, […]


Evolution, Expression, and Function of Nonneuronal Ligand Gated Chloride Channels in Drosophila melanogaster

PMCID: 4938653
PMID: 27172217
DOI: 10.1534/g3.116.029546

[…] BACPACs were ordered (DGRC), homology arms designed, and recombineering performed as per . The modified BAC fused the GAL4 coding region, in-frame to the start codon and was predicted to express Gal4 […]

BacPaCS institution(s)
Department of Computer Science, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
BacPaCS funding source(s)
Supported in part by the Israel Science Foundation (grant number 559/15, No. 555/15 and No. 179/14.)

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