Optimizing Molecular Cloning of Multiple Plasmids

Authors: Thierry Petit, Lolita Petit

IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We demonstrate the relevance of using an Artificial Intelligence framework for modeling the PCP by successfully solving real instances in gene therapy for retinal blinding diseases. and We benched our propagator independently from the PCP, using Choco 3.3.3 [Prud homme et al., 2014] on a I7-4720HQ linux laptop with 16GB of RAM.
Researcher Affiliation Academia Thierry Petit Foisie School of Business, Worcester Polytechnic Institute, USA tpetit@wpi.edu thierry.petit@mines-nantes.fr and Lolita Petit Gene Therapy Center, University of Massachusetts Medical School, Worcester MA, USA lolita.petit@umassmed.edu
Pseudocode Yes Algorithm 1: NVECTORLB. and Algorithm 2: NVCARDINALITYPROPAGATOR.
Open Source Code No Future work includes the development of a user-friendly software product for biologists, based on the proof of concept offered by this research work. There are no explicit statements or links about code availability for the current work.
Open Datasets No We solved three real instances of the PCP in the field of gene therapy for retinal blinding diseases. The first one is related to the development of a gene addition therapy [Boye et al., 2012] in three animal models of inherited photoreceptor dystrophies... The paper mentions using 'randomly generated domains' and 'real instances' derived from specific gene therapy research but does not provide concrete access information (e.g., URL, DOI, or a clear citation to a specific dataset with author/year and source) for these datasets.
Dataset Splits No The paper discusses 'randomly generated domains' and 'real instances' but does not provide specific dataset split information (percentages, sample counts, or citations to predefined splits) needed for data partitioning.
Hardware Specification Yes We benched our propagator independently from the PCP, using Choco 3.3.3 [Prud homme et al., 2014] on a I7-4720HQ linux laptop with 16GB of RAM.
Software Dependencies Yes We benched our propagator independently from the PCP, using Choco 3.3.3 [Prud homme et al., 2014] on a I7-4720HQ linux laptop with 16GB of RAM.
Experiment Setup Yes We used a search strategy that does not require a random process: select the variable with the largest domain and split this domain at each choice point. and We used the solving scheme described in section 3.1, with Last KConflicts [Lecoutre et al., 2009]. This meta-mechanism allows to guide search toward sources of conflicts... The Last KConflicts best parameter is 2...