Description
This course for those interested learning more about the application of structural information in their work and how to model protein structures using homology modeling approach, visual investigation of 3D molecular structures of proteins, and their interaction with each other, with ligands, substrates, and drugs. Paricipants will learn how to create publication quality molecular images. No previous experience in the filed of structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required. But it helps to type the commands into the modeling concepts and biology.

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NGS data analysis is a multidisciplinary approach that requires expertise in bioinformatics, computational biology, statistics, and molecular biology. This course will provide basics of NGS data analysis

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This course is for those interested in learning more about the application of structural information in their work and how to model protein structures using homology modeling approach, visual investigation of 3D molecular structures of proteins and their interaction with ligands, substrates, and drugs.Participants will learn how to analyze protein structures and create publication-quality molecular images.No previous experience in the field of structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required,but it helps to type the commands into the modeling concepts and biology.

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This course is for those interested in learning the theoretical background and a hands-on approach to Molecular Docking.No previous experience in the field of structural bioinformatics is required,but a basic knowledge of protein structure is an advantage.

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What is Python? Advantages & disadvantages of learning Python. Introduction to Python strings, numbers, list, dictionary, tuple and set Basic Loops in Python (while, for, if-else, try-except, use of break, pass & continue statements) Basic Python Functions. List Comprehension. Basic exercises related to protein/ DNA/RNA sequences to demonstrate the power of Python

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TOPICS COVERED IN THIS PROGRAM
1. R &PYTHON PROGRAMMING
2. SEQUENCE ANALYSIS & PHYLOGENETICS
3. NGS DATA ANALYSIS
4. STRUCTURAL BIOINFORMATICS
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This course is designed for students interested in learning the fundamentals of molecular dynamics simulations and gaining practical experience with GROMACS software package. No prior expertise in structural bioinformatics is necessary, however a fundamental understanding of protein structure is advantageous. Experience with a command-line environment like UNIX is not essential, although it is helpful for inputting the MD simualtions instructions

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What is Next Generation Sequencing (NGS)?
What is Metagenomics?
16S Metagenomics
Whole genome shotgun metagenomics
What is Microbiome?
Metagenomic insights of human gut microbiome
Important softwares and tools for metagenome and microbiome analysis
Basic introduction to QIIME for microbiome analysis
Installation of QIME
Hand on session for small data sets for metagenome/microbiome analysis using MG-RAST and/or QIIME

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This workshop is intended for those who want to learn about using structural information in protein research and modeling protein structures using homology modeling. Participants will be able to visualize 3D molecular structures of proteins and how they interact with other molecules such as drugs and ligands. The workshop will also teach how to analyze protein structures and create publication-quality molecular images. No prior knowledge of structural bioinformatics is needed, but a basic understanding of protein structure is beneficial.

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Brief overview of applications of NGS. Introduction to aligners (BWA. bowtie.tophat. STAR etc) Different formats (FASTO. SAM/BAM. GTF/GFF etc) How to use galaxy? Basic exercises related to quality check of raw data & adapter trimming with in depth discussion on various parameters of quality check.

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This course is for those interested in learning more about the application of structural information in their work and how to model protein structures using homology modeling approach,visualinvestigation of 3D molecular structures of proteins and their interaction with ligands,substrates,anddrugs.Participants will learn how to analyze protein structures and createpublication - quality molecular images.No previous experience in the field of structural bioinformatics is required,but a basic knowledge of protein structure is an advantage.Experience with a UNIX-like command-line environment is not required,but it helps to type the commands into the modeling concepts and biology.

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This course will introduce the theory behind different phylogenetic tree reconstruction approaches and Hands on sessions using MEGA software. The target audience is students and researchers with no experience in Bioinformatics. Knowledge of computer programming is not required to attend this course. Basics of Phylogenetic Tree Reconstruction Approaches

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(1) What is R? Download & installtion Why to learn R
(2) R basics R operators (Arithmetic, relational, logical, assignment) R objects (vector, list, matrix, array, factor, data frame), Class, read and write data, simple plots
(3) Hands On Session Basic exercises to read/write data and/or make plots

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Description
This course is for those interested in learning more about the application of structural information in their work and how to model protein structures using homology modeling approach, visual investigation of 3D molecular structures of proteins, and their interaction with each other, with ligands, substrates, and drugs. Participants will learn how to create publication-quality molecular images. No previous experience in the field of structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required, but it helps to type the commands into the modeling concepts and biology.

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Description
This course is designed for students interested in learning the fundamentals of molecular dynamics simulations and gaining practical experience with the GROMACS software package. No prior expertise in structural bioinformatics is necessary, however, a fundamental understanding of protein structure is advantageous. Experience with a command-line environment like UNIX is not essential, although it is helpful for inputting the MD simulations instructions.

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This introductory workshop is intended for candidates with a biological background but without any previous programming experience. This workshop introduces the basic concepts of programming with hands-on sessions to practice writing simple python scripts.

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This course is for people who want to study the theoretical foundations of Molecular Docking as well as a hands-on approach. Although no prior expertise with structural bioinformatics is necessary, a basic understanding of protein structure is advantageous. It is not necessary to have prior experience with a UNIX-like command-line environment, but it will aid in typing the instructions into the modelling concepts and biology.

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Description
This course is for those interested in learning more about the application of structural information in their work and how to model protein structures using homology modeling approach, visual investigation of 3D molecular structures of proteins and their interaction with ligands, substrates, and drugs. Participants will learn how to analyze protein structures and create publication-quality molecular images. No previous experience in the field of structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required, but it helps to type the commands into the modeling concepts and biology.

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This one day training is for those who are interested in learning the basics of structural bioinformatics. The workshop will focus on homology modeling approaches, visual investigation of 3D molecular structures of proteins, and their interaction with each other, with ligands, substrates, and drugs. Participants will learn how to create publication-quality molecular images. No previous experience in the field structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required, but it helps to type the commands into the modeling concepts and biology.

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This introductory workshop is intended for candidates with a biological background but without any previous programming experience. This workshop introduces the basic concepts of programming with hands-on sessions to practice writing simple python scripts.

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This course is for those interested in learning the basics of molecular dynamics simulations and a hands-on approach to the capabilities of GROMACS and free energy calculations. No previous experience in the field of structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required, but it helps to type the commands into the modeling concepts and biology.

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Two-days cloud-based hands-on workshop targeting structure-based drug designing. Participants will get practical experience and in-person guidance in using the Maestro GUI, covering the organic molecule sketching, protein selection, preparation, and screening for hit identification of molecules against therapeutic targets. The workshop will also include a brief recap of background theory for Molecular mechanics, Molecular Docking, and Molecular Dynamics via case studies on the real-time industrial projects.

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The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. This workshop will walk you through how to use Jupyter Notebooks to learn python and how to set it up on your local machine. Also we will be working on some of the python libraries to better understand the data exploration and visualization. No prior programming experience is required but if you know the basics of programming the more you can explore.

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This course will introduce the theory behind different phylogenetic tree reconstruction approaches and Hands on sessions using MEGA software. The target audience is students and researchers with no experience in Bioinformatics. Knowledge of computer programming is not required to attend this course.

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This workshop is for those who are interested in learning the basics of R package. This workshop discusses the compelling reasons to learn R for biologists. Introduction to CRAN, how should we install R packages and how to troubleshoot the common problems related to dependencies & installation. Hands on session to make simple plots using R.

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This course is for those interested in learning the theoretical background and a hands-on approach to Molecular Docking. No previous experience in the field of structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required, but it helps to type the commands into the modeling concepts and biology.

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This one day training is a consolidation of courses covering three major programmatic technologies used in bioinformatics. It teaches entry level bioinformaticians, and biologists how to leverage the Linux shell, Perl, Python and R to perform computations in biological research and create information from data. Examples in this course use data from DNA and amino acid sequences, microarray profiles , and biological annotations.

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This one day training is for those who are interested in learning the basics of structural bioinformatics. The workshop will focus on homology modeling approaches, visual investigation of 3D molecular structures of proteins, and their interaction with each other, with ligands, substrates, and drugs. Participants will learn how to create publication-quality molecular images. No previous experience in the field of structural bioinformatics is required, but a basic knowledge of protein structure is an advantage. Experience with a UNIX-like command-line environment is not required, but it helps to type the commands into the modeling concepts and biology.

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