RESEARCH CLUSTER
INFORMATION
TECHNOLOGY
IN LIFE SCIENCES

This research unit is to support all basic and applied research to better comprehend large datasets generated during the execution of the projects. Independently funded projects aim to map out the biodiversity of Indonesia, compute pharmacoinformatics data, curate medical databases, as well as implement comprehensive epidemiological studies. The main focus is to support and assist R&D at i3L and local industries.

Head of Cluster : Nanda Rizqia Pradana Ratnasari, S.Si., M.Stat.

This research unit is to support all basic and applied research to better comprehend large datasets generated during the execution of the projects. Independently funded projects aim to map out the biodiversity of Indonesia, compute pharmacoinformatics data, curate medical databases, as well as implement comprehensive epidemiological studies. The main focus is to support and assist R&D at i3L and local industries.

Head of Cluster : Nanda Rizqia Pradana Ratnasari, S.Si., M.Stat.

 

RESEARCH PROJECTS
INFORMATION TECHNOLOGY IN LIFE SCIENCES

Study of 2 and 3-Dimensional Prediction of Breast Cancer Biomarkers from The Lincrna-Ror_Mir-145_Arf6 Expression Pathway

Study of 2 and 3-Dimensional Prediction of Breast Cancer Biomarkers from the Lincrna-Ror/Mir-145/Arf6 Expression Pathway

Transcriptomic Screening of Tilapia and Carp for Development of Rapid Diagnostic Kit Growth Markers

Transcriptomic Screening of Tilapia and Carp for Development of Rapid Diagnostic Kit Growth Markers

Large-scale Domain Annotations of Human Breast Cancer-Related Oncoprotein with Machine Learning-Based Bioinformatics Tools

Large-scale Domain Annotations of Human Breast Cancer-related Oncoprotein with Machine Learning-based Bioinformatics Tools

Protein Domain Annotations of The SARS-CoV-2 Proteomics as a Blue-Print for Mapping The Features for Drug and Vaccine Designs

Protein Domain Annotations of the SARS-CoV-2 Proteomics as a Blue-Print for Mapping the Features for Drug and Vaccine Designs

Molecular Dynamics Simulation of The Binding of Anti-Sense siRNA to the mRNA of The SARS-CoV-2 RdRp Gene

Molecular Dynamics Simulation of the binding of anti-sense siRNA to the mRNA of the SARS-CoV-2 RdRp gene

Study of 2 and 3-Dimensional Prediction of Breast Cancer Biomarkers from The Lincrna-Ror_Mir-145_Arf6 Expression Pathway

Study of 2 and 3-Dimensional Prediction of Breast Cancer Biomarkers from the Lincrna-Ror/Mir-145/Arf6 Expression Pathway


Transcriptomic Screening of Tilapia and Carp for Development of Rapid Diagnostic Kit Growth Markers

Transcriptomic Screening of Tilapia and Carp for Development of Rapid Diagnostic Kit Growth Markers


Large-scale Domain Annotations of Human Breast Cancer-Related Oncoprotein with Machine Learning-Based Bioinformatics Tools

Large-scale Domain Annotations of Human Breast Cancer-related Oncoprotein with Machine Learning-based Bioinformatics Tools


Protein Domain Annotations of The SARS-CoV-2 Proteomics as a Blue-Print for Mapping The Features for Drug and Vaccine Designs

Protein Domain Annotations of the SARS-CoV-2 Proteomics as a Blue-Print for Mapping the Features for Drug and Vaccine Designs


Molecular Dynamics Simulation of The Binding of Anti-Sense siRNA to the mRNA of The SARS-CoV-2 RdRp Gene

Molecular Dynamics Simulation of the binding of anti-sense siRNA to the mRNA of the SARS-CoV-2 RdRp gene


RESEARCH PRODUCTS
INFORMATION TECHNOLOGY IN LIFE SCIENCES

Linux and R Computational Protocol_ Application of Statistics and Data Sciences in Cancer

Linux and R Computational Protocol: Application of Statistics and Data Sciences in Cancer

Pembuatan database

Pembuatan database interaksi antar obat yang terintegrasi dengan sistem peresepan terkomputerisasi pada rumah sakit untuk mengurangi kesalahan pengobatan dan meningkatkan efisiensi pelayanan resep

Linux and R Computational Protocol_ Application of Statistics and Data Sciences in Cancer

Linux and R Computational Protocol: Application of Statistics and Data Sciences in Cancer


Pembuatan database

Pembuatan database interaksi antar obat yang terintegrasi dengan sistem peresepan terkomputerisasi pada rumah sakit untuk mengurangi kesalahan pengobatan dan meningkatkan efisiensi pelayanan resep