Software
GIANT: A New Tool for Transcriptomic Data Analysis
Transcriptomic data analysis is an important requirement in biomedical research. The bioinformatics tools available for transcriptomic data analysis provide a user-friendly interface that is easily accessible by the experimental biologists as well. A new tool called GIANT-Galaxy-based tool for Interactive ANalysis of Transcriptomic data has been developed by Vandel et al., [1].
GIANT is a set of tools allowing researchers to analyze transcriptomic data from microarray or RNA-seq analyses [1]. It consists of different modules facilitating the easy selection of tools for a particular analysis. The source code of the GIANT is freely downloadable on Github (https://github.com/juliechevalier/GIANT). The Galaxy tool suite is available on the Galaxy Main Tool Shed (https://toolshed.g2.bx.psu.edu; name:suite_giant; owner:vandelj).
How GIANT works?
GIANT takes raw data from microarray or RNA-seq. Depending upon that, it selects methodology to process the data.
- Firstly, it subjects the input data to a quality check.
- In the next step, it leads to normalization including differential analysis in both the cases (microarray and RNA-seq).
- After differential analysis, the data is subjected to another quality check. It is highly recommended [1].
- After that, it generates volcano plots and heatmaps, performs clustering and GSEA formatting as per the user requirements.
GIANT suite consists of various adjustable parameters to improve the analysis and visualization of transcriptomic data. As an output, it provides interactive plots, tabular results, and easy visualization and sharing of the data. For further reading, click here.
References
- Vandel, J., Gheeraert, C., Staels, B., Eeckhoute, J., Lefebvre, P., & Dubois-Chevalier, J. (2020). GIANT: Galaxy-based tool for Interactive ANalysis of Transcriptomic data. Scientific Reports.
This is a video tutorial for calculating binding pocket volume using the PyVol plugin [1] in Pymol [2].
If you need to generate the topology of molecules using their SMILES, a simple Python script is available.
![[Tutorial] Installing jdock on Ubuntu (Linux).](https://img.bioinformaticsreview.com/uploads/2023/05/09092952/jdock.jpg)
jdock is an extended version of idock [1]. It has the same features as the idock along with some bug fixes. However, the binary name and the GitHub repository names are changed. We are installing jdock on Ubuntu (Linux).
In bioinformatics, cmake is used to install multiple software including GROMACS, jdock, and so on. Here is a short tutorial on how to upgrade cmake on Ubuntu and get rid of the previous version. (more…)
GMXPBSA is a tool to calculate binding free energy [1]. It is compatible with Gromacs version 4.5 and later. In this article, we will install GMXPBSA version 2.1.2 on Ubuntu (Linux).
![[Tutorial] Installing Pyrx on Windows.](https://img.bioinformaticsreview.com/uploads/2023/04/13181032/pyrx-3.jpg)
Pyrx [1] is another virtual screening software that also offers to perform docking using Autodock Vina. In this article, we will install Pyrx on Windows. (more…)
MD Simulation
How to solve ‘Could NOT find CUDA: Found unsuitable version “10.1”‘ error during GROMACS installation?
Compiling GROMACS [1] with GPU can be trivial. Previously, we have provided a few articles on the same. In this article, we will solve an error frequently occurring during GROMACS installation.
Previously, we installed the Autodock suite [1] on Ubuntu. Visit this article for details. Now, let’s install it on MacOS.
Autodock suite is used for docking small molecules [1]. Recently, Autodock-GPU [2] is developed to accelerate the docking process. Its installation is described in this article. In this tutorial, we will install Autodock 4.2.6 on Ubuntu.
Discovery Studio (DS) Visualizer (from BIOVIA) is a visualization tool for viewing, sharing, and analyzing proteins [1]. Here are some uses and applications of DS Visualizer.
Remote homologs are similar protein structures that share similar functions, but there is no easily detectable sequence similarity in them. A new study has revealed that the protein folding information can be exploited from remote homologous structures. A new tool is developed to recognize such proteins and predict their structure and folding pathway. (more…)
Detecting viruses and bacteria in RNA-seq data with less false positive rate is a difficult task. A new tool is introduced to detect pathogens in RNA-seq data with high precision and recall known as Pathonoia [1].
AlphaFold is a popular artificial intelligence based protein prediction tool [1]. Though it predicts good protein structures, it lacks the capability to predict the small molecules present in the structure such as ligands. For this purpose, AlphaFill is introduced by Hekkelman et al.,[2]. (more…)
Electron density maps are available for most of the protein structures in PDB. Therefore, in this article, we are using PDB to generate electron density maps in Pymol.
PyVOL [1] is an excellent plugin of Pymol [2] for pocket visualization of proteins. In this article, we will install the PyVOL plugin in Pymol on Ubuntu. (more…)
While trying to install Matlab [1], it generally gives an error stating “matlab: command not found.”. Here, we provide a solution to this error.
Kpax is a bioinformatics program to search and align protein structures [1]. It is currently available for Linux platforms only. In this article, we are going to install the latest version of Kpax (5.1.3) on Ubuntu (Linux). (more…)
In the latest version of GROMACS (2022) [1], there are some issues regarding the gmx do_dssp command. Apparently, this command either does not run displaying a fatal error, or if it runs then it does not read any frame from MD simulation files. In this article, we are going to run the same command for GROMACS 2022. (more…)
SMINA is a fork of AutoDock Vina supporting better scoring function and high-performance energy minimization [1]. In this article, we are going to install SMINA on Ubuntu (Linux). (more…)
You must be logged in to post a comment Login