Softwares for research

ADMET Predictor is a powerful in silico tool that has become an essential component in the arsenal of modern scientific researchers.
This computational platform utilizes advanced algorithms and machine learning techniques to predict the Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties of drug candidates and other molecules, providing invaluable insights at the early stages of the drug discovery and development process.
Widely adopted across various fields, including pharmaceutical research, toxicology, and environmental science, ADMET Predictor has gained widespread recognition for its ability to streamline experimental workflows, reduce costs, and enhance the success rate of research projects.

BD FACSDiva is a cutting-edge flow cytometry instrument that has become an indispensable tool in the world of scientific research.
This powerful technology allows researchers to analyze and sort a wide range of cellular samples, making it a versatile platform for applications ranging from immunology and cell biology to stem cell research and cancer studies.
With its high-resolution data acquisition, advanced software, and user-friendly interface, the BD FACSDiva system has become a go-to choice for researchers seeking to unlock the secrets of the cellular world.

Bio-Rad CFX Manager is a powerful software suite that simplifies the design, execution, and analysis of real-time PCR (qPCR) experiments.
Its intuitive interface and advanced data analysis tools make it an indispensable tool for researchers in fields like molecular biology, genetics, and microbiology, where accurate and reliable gene expression quantification is crucial.
With its comprehensive features and seamless integration with Bio-Rad's CFX Thermal Cycler platforms, the Bio-Rad CFX Manager software has become a go-to solution for researchers conducting qPCR-based experiments, from routine gene expression profiling to complex multiplex assays.

Bioconductor is a powerful, open-source software platform for the analysis and comprehension of high-throughput genomic data.
As a robust and flexible tool, Bioconductor is widely used in a variety of scientific experiments, including gene expression analysis, DNA sequencing, and epigenetic studies.
Researchers across disciplines, from bioinformatics to molecular biology, rely on Bioconductor's extensive package library and user-friendly environment to streamline their data analysis workflows and gain valuable insights from their experimental findings.

CellProfiler is a powerful open-source image analysis software that has become an essential tool in the field of cell biology and biomedical research.
This versatile platform enables researchers to automate the process of quantifying and analyzing cellular features, making it particularly useful for high-throughput microscopy experiments, such as those involving drug screening, cell signaling pathways, and phenotypic profiling.
With its user-friendly interface and a wide range of customizable modules, CellProfiler has demonstrated its versatility in various applications, including cell counting, morphological analysis, and subcellular localization studies, making it a valuable resource for researchers seeking efficient and reproducible image-based protocols.

CLC Genomics Workbench is a powerful bioinformatics software suite that has become an indispensable tool for researchers across various scientific domains.
This comprehensive platform offers a wide range of functionalities, from DNA and RNA sequencing analysis to genome assembly and annotation, making it a versatile choice for researchers conducting genomic and transcriptomic studies.
With its intuitive user interface, robust algorithms, and extensive data visualization capabilities, CLC Genomics Workbench has become a go-to solution for researchers seeking to streamline their bioinformatics workflows and gain valuable insights from their omics data.

The Colour Conversion Centre (CCC) is a versatile tool used in a wide range of scientific experiments, from color analysis in materials science to visual perception studies in psychology.
By converting color data between various color spaces, the CCC enables researchers to standardize and compare color-related measurements, ensuring the reliability and reproducibility of their findings.
Its applications span diverse fields, making it a crucial component in the arsenal of researchers seeking to incorporate color-based analyses and data processing into their experimental protocols.

FlowJo is a powerful software suite widely used in flow cytometry data analysis for scientific research.
This user-friendly platform enables researchers to visualize, analyze, and interpret complex multi-parameter flow cytometry data, making it an essential tool for a wide range of applications, including immunology, cell biology, and drug discovery.
With its robust features and intuitive interface, FlowJo has become a go-to solution for flow cytometry data processing and presentation in academic and industry settings.

GastroPlus is a sophisticated in silico simulation platform that has become an indispensable tool for researchers across various scientific domains.
This PBPK (Physiologically-Based Pharmacokinetic) modeling software allows scientists to predict the absorption, distribution, metabolism, and excretion (ADME) of compounds, making it highly relevant for preclinical drug development, formulation optimization, and biopharmaceutics research.
By integrating extensive physiological and pharmacokinetic data, GastroPlus enables researchers to conduct virtual experiments, optimize study designs, and gain valuable insights that can accelerate the translation of their findings from the lab to clinical applications.

GCMSsolution is a powerful analytical tool widely used in scientific research and experiments.
This gas chromatography-mass spectrometry (GC-MS) software solution enables researchers to accurately identify and quantify a wide range of chemical compounds, making it an indispensable resource for applications in fields such as environmental analysis, forensics, pharmaceuticals, and metabolomics.
By providing robust data analysis and intuitive data visualization features, GCMSsolution streamlines the workflow of researchers seeking to gain valuable insights from their GC-MS experiments.

GeMoMa (Gene Modeling based on Homology) is a powerful computational tool for gene annotation and discovery in genomic sequences.
This open-source software leverages homology-based approaches to accurately identify and model protein-coding genes, making it a valuable resource for researchers in various fields, such as evolutionary biology, comparative genomics, and functional genomics.
GeMoMa's robust algorithms and user-friendly interface have made it a widely adopted protocol for gene prediction and annotation in a wide range of organisms, from microbes to higher eukaryotes.

Gen5 is a cutting-edge technology that has revolutionized scientific research and experimentation.
This advanced generation of instrumentation offers unparalleled precision, sensitivity, and versatility, making it a valuable tool across a wide range of scientific disciplines.
From high-throughput screening in drug discovery to in-depth analysis of complex biological samples, Gen5 has become an indispensable part of the modern research toolkit, empowering researchers to push the boundaries of scientific discovery.

Geneious is a powerful bioinformatics software suite that has become an indispensable tool in the world of scientific research.
With its user-friendly interface and extensive range of features, Geneious enables researchers to seamlessly analyze, manage, and share their genetic data, from DNA and RNA sequences to phylogenetic trees and protein structures.
Whether you're working on genome annotation, primer design, or comparative genomics, Geneious provides a comprehensive platform to streamline your biological research workflows and unlock valuable insights.

GraphPad Prism is a widely acclaimed data analysis and visualization software that has become an indispensable tool in the realm of scientific research.
This comprehensive software suite empowers researchers across diverse disciplines, from biology and medicine to chemistry and physics, to efficiently analyze their experimental data, generate publication-quality graphs, and derive meaningful insights.
With its user-friendly interface, robust statistical analyses, and extensive graphing capabilities, GraphPad Prism has become a go-to choice for researchers seeking a reliable and versatile platform to streamline their data management and interpretation workflows.

GROMACS (Groningen Machine for Chemical Simulations) is a powerful open-source software package widely used in the field of computational chemistry and molecular dynamics (MD) simulations.
It is a versatile tool that enables researchers to study the behavior and properties of complex molecular systems, making it a valuable asset in a wide range of scientific experiments.
GROMACS is particularly useful for simulating biomolecular systems, such as proteins, nucleic acids, and lipids, and is commonly applied in areas like drug discovery, protein engineering, and materials science research.

HOMER" (Holistic Optical Mapping for Experimental Research) is a cutting-edge technique that has revolutionized the way researchers approach complex biological systems.
This powerful tool allows for the simultaneous visualization and analysis of multiple cellular and molecular events, making it an invaluable asset in a wide range of scientific experiments, from drug discovery to developmental biology.
By incorporating HOMER into your research protocol, you can gain unprecedented insights into the intricate mechanisms that govern cellular function, ultimately driving breakthroughs in your field of study.

ImageJ, a powerful open-source software, has become an indispensable tool in the world of scientific research.
This versatile image analysis platform allows researchers to process, analyze, and quantify a wide range of visual data, from microscopy images to in vivo studies.
With its extensive range of plugins and customizable features, ImageJ has found widespread applications in fields like cell biology, neuroscience, and biomedical engineering, making it a valuable resource for researchers seeking to extract meaningful insights from their experimental data.

ITK-SNAP is a powerful open-source software tool widely used in the scientific research community.
It is particularly valuable for medical image segmentation and analysis, enabling researchers to accurately delineate and quantify regions of interest within 3D medical images such as MRI, CT, and PET scans.
ITK-SNAP's versatility and user-friendly interface make it a go-to solution for a variety of applications, from brain structure analysis to tumor segmentation, making it an indispensable tool in many research protocols across various fields of study.

Keras, a popular open-source neural networks library, has become a valuable tool in the world of scientific research and experimentation.
Its user-friendly interface and high-level API make it an excellent choice for researchers looking to implement deep learning models in their studies, whether they're exploring image recognition, natural language processing, or time series analysis.
With its strong performance, scalability, and extensive documentation, Keras has become a go-to framework for researchers across various scientific disciplines, enabling them to efficiently and effectively incorporate cutting-edge machine learning techniques into their experimental protocols.

LabVIEW, a powerful visual programming software, has become an essential tool in the world of scientific research protocols.
By providing a user-friendly interface and intuitive data acquisition capabilities, LabVIEW enables researchers to automate and streamline their experiments, leading to more efficient and precise data collection.
From controlling laboratory equipment and sensors to analyzing experimental results, LabVIEW's versatility makes it a valuable asset in a wide range of scientific disciplines, including but not limited to physics, chemistry, biology, and engineering.

LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a powerful and versatile open-source software package widely used in computational materials science and molecular dynamics (MD) simulations.
This molecular dynamics simulation tool is particularly relevant for researchers studying the behavior and properties of materials at the atomic and molecular scale, enabling the exploration of phenomena such as phase transitions, chemical reactions, and the dynamics of complex systems.
LAMMPS is a crucial resource for scientists across various fields, including physics, chemistry, materials science, and nanotechnology, providing a robust and flexible platform for conducting cutting-edge research and developing innovative protocols.

MATLAB, a powerful software platform, has become an indispensable tool in the realm of scientific research and experiments.
With its robust numerical computing capabilities, advanced data analysis and visualization features, MATLAB enables researchers to streamline their workflows, automate complex tasks, and gain deeper insights into their experimental data.
From signal processing and image analysis to control systems and simulations, MATLAB's versatility makes it a go-to choice for a wide range of scientific applications, empowering researchers to tackle complex problems with efficiency and precision.

Matplotlib, a powerful data visualization library, is an essential tool in the researcher's toolkit.
This open-source Python library enables the creation of high-quality, publication-ready plots and figures, making it a go-to choice for data visualization in scientific experiments.
From basic line plots and scatter plots to complex visualizations like heatmaps and 3D plots, Matplotlib's versatility and customization capabilities make it a valuable asset for researchers across various scientific domains, including biology, physics, engineering, and beyond.

MetaMorph is a powerful software suite designed to facilitate advanced image analysis and automated quantification in scientific research.
Widely adopted across diverse fields, from cell biology to neuroscience, MetaMorph offers a comprehensive suite of tools for tasks such as object tracking, fluorescence quantification, and high-content screening.
Researchers seeking efficient and customizable protocols for image-based experiments will find MetaMorph's versatility and user-friendly interface particularly valuable in their investigations.

MoBi, a powerful mobile-based imaging (MoBi) tool, has emerged as a versatile solution in the realm of scientific research.
This innovative technology enables researchers to capture high-quality images and videos directly from mobile devices, seamlessly integrating data collection and analysis within a single platform.
MoBi's wide-ranging applications, from biological and environmental studies to medical imaging and consumer research, have made it a valuable asset in the scientific community, offering researchers a cost-effective and efficient way to gather and analyze visual data.

NONMEM (Nonlinear Mixed Effects Modeling) is a powerful software tool widely used in pharmacokinetic and pharmacodynamic (PK/PD) modeling and simulation within the pharmaceutical and clinical research domains.
This versatile platform enables researchers to analyze complex data, estimate drug-specific parameters, and predict drug behavior, making it a crucial component in the design, optimization, and interpretation of scientific experiments.
NONMEM's broad applicability spans areas such as dose-response analysis, population PK/PD modeling, and exposure-response assessments, making it an indispensable resource for researchers seeking to enhance the rigor and efficiency of their scientific protocols.

NumPy, the powerful open-source Python library, is a cornerstone of scientific computing and data analysis.
Widely used in research protocols across various scientific domains, NumPy provides an efficient and flexible way to work with multi-dimensional arrays and matrices, enabling researchers to perform complex numerical operations, data manipulation, and statistical analysis with ease.
From signal processing and image recognition to machine learning and simulation modeling, NumPy's versatility makes it an indispensable tool in the arsenal of modern researchers seeking to extract insights from their experimental data.

OpenCV (Open Source Computer Vision Library) is a powerful open-source computer vision and machine learning software library that has become an essential tool for researchers across various disciplines.
Widely used in scientific experiments, OpenCV offers a wide range of functionalities, including image and video processing, object detection, feature extraction, and pattern recognition, making it highly relevant for a multitude of applications such as medical imaging, robotics, biometrics, and surveillance.
Researchers can leverage the extensive community support, comprehensive documentation, and cross-platform compatibility of OpenCV to develop robust and efficient computer vision-based protocols that can unlock new insights and advance their scientific investigations.

OpenFOAM, an open-source computational fluid dynamics (CFD) software, has become a valuable tool in scientific research and experimentation.
As a versatile platform, OpenFOAM enables researchers to model and simulate complex fluid dynamics, heat transfer, and multiphysics phenomena, making it widely applicable in fields such as aerodynamics, hydrodynamics, and renewable energy.
Its robust numerical solvers, customizable nature, and growing community support make OpenFOAM an attractive choice for researchers seeking comprehensive, cost-effective, and open-source solutions for their computational fluid dynamics protocols.

OpenLab is a powerful open-source platform that enables researchers to design, execute, and analyze scientific experiments with ease.
Its versatility and scalability make it a valuable tool for a wide range of research applications, from biology and chemistry to materials science and engineering.
By providing a collaborative and user-friendly environment, OpenLab empowers researchers to streamline their workflows, share data, and accelerate the pace of scientific discovery.