No Prerequisites. Registration is required. For the detailed information click here. Flow cell loading demonstration Oxford Nanopore Technologies aims to disrupt the paradigm of biological analysis.
Our technology and commercial model has already opened up DNA analysis to researchers who previously had no direct access to sequencing technologies, freeing them up to perform analyses in their own labs or in the field, and in real time. We continually improve the technology performance, make it easier to use and expand the ways in which users can access nanopore sequencing.
This technology pathway is designed to enable the analysis of any living thing, by any person, in any environment. The MinION is in use by a thriving community of scientists in more than 70 countries, where it is enabling a myriad applications within the traditional laboratory environment and in the field. Both these systems have flow cells that can be used independently or altogether for larger projects or anything in between.
Large and small projects can be run at the same time, started at different times and run for as long as necessary to generate the data required. Ingenuity is a commercial tool that performs pathway and functional analysis.
It helps to understand complex 'omics' data at multiple levels by integrating data from a variety of experimental platforms and providing insight into the molecular and chemical interactions, cellular phenotypes, and disease processes of your system. It also provides insight into the causes of observed gene expression changes and into the predicted downstream biological effects of those changes. The tool is user-friendly and the results are shown in high quality graphics.
In particular: 1 Navigating Linux file system. Introduction to NGS technology. Experimental design. Primary analysis of NGS data, from the machine to sequence files per sample.
Variant detection. De novo transcriptome definition. Biological integration and interpretation of the data. Additional genomic technologies. To be able to write programs in Python. To master the rich set of Python libraries and modules. Understand procedural control flow in Python. Use Object Oriented programming techniques. There will be 8 sessions the last 2 are optional. Experience with a text editor like emacs, vi, pico or notepad.
Understanding of files and directories. In this workshop, we will demonstrate the use of the programming language "R" for creating exploratory and publication level graphs. In the first hour, we will introduce basic data input and manipulation in R, and in the following two hours we will create plots using R base functions and the "ggplot2" package. If you already have some experience in R, and are interested only in the graphs part, you are welcome to join from the 2nd hour.
This workshop is an introduction to the basic principles and knowhow for analyzing RNA-Seq in order to detect differentially expressed genes. We will be using Chipster , an intuitive graphical user interface, to align the reads to a genome Tophat , quantify the genes HTSeq and detect differentially expressed genes DESeq2.
This is a beginner on-going workshop. It is suitable for anyone wanting to use Python for developing applications, writing test for QA or using it for system administration.
This workshop will introduce the basic principles of analyzing ChIP-Seq data generated by next-generation sequencing. We will discuss the fundamentals of ChIP-seq experimental design and analysis. Workshop schedule: lecture hands-on session summary of the hands-on results. In addition, we will learn to plot and visualize intensity values across samples and across categorical variables.
We will be using Chipster, an intuitive graphical user interface, to align the reads to a genome Tophat , quantify the genes HTSeq and detect differentially expressed genes DESeq2. This workshop will introduce you to Python, a widely used and versatile programming language. Python can serve as a powerful tool for data analysis, and has a prominent place in the scientific community. There will be 3 session for this workshop. Each session will include a lecture and a hands-on. At the end of this workshop you will be able to write simple programs yourself, mainly for text processing and data organization.
No preliminary experience is required. We will start from basic data manipulation, and use R base functions and the "ggplot2" package. Workshop Presentation. The lecture is planned as a preceding lecture for participants of the upcoming Bioconductor course, but it is open to anyone who is interested in beginning to work with R.
This workshop is expected to be overbooked - we request that only one person per group register the workshop will be given again. Notification of acceptance to the workshop will be sent out during the first week of March. This workshop will include an introductory lecture on population structure followed by a hands-on session. Clustering individuals into populations, based on multi-locus genotypes, has become a critical step in population genetics studies.
Many different programs have been developed in order to face the challenge of dividing individuals into a predefined number of populations, K. Distinct solutions can be the result of multimodality in the solution space, or the result of label switching between clusters. The workshop will discuss important aspects in the experiment design and how we analyse the data to find protein binding sites and determine their biological significance. Noa Wigoda and Irit Orr. Classic Bioinformatics and Genomics - Dr.
Shifra Ben-Dor and Irit Orr. Biostatistical Support - Dr. Ron Rotkopf. Machine learning and Artificial Intelligence - Dr. Ido Azuri and Elisha Goldstein. Microarray analysis - Irit Orr and Dr. A tool for extracting and displaying positive electrostatic patches on protein surfaces which can be indicative of nucleic acid binding interfaces. Automatic Identification of pockets and cavities in proteins structure, and quantitation of their volumes using Delaunay triangulation.
Identification protein interaction sites. It uses sequence conservation patterns in homologous proteins to distinguish between residues that are conserved due to structural restraints from those due to functional restraints. The server utilizes protein-structure prediction to provide structural models of the binding site. Ligands bound to structures are superimposed onto the model and use to predict the binding site. A threading-based method for ligand-binding site prediction and functional annotation based on binding-site similarity across superimposed groups of threading templates.
A meta server for ligand-binding site prediction. Sign up for our email list to stay in touch with local bioinformatics updates. Our Primary Activities Include: Training : We teach several courses, including an introduction to bioinformatics for biologists, Perl and relational database programming, and microarray data analysis.
We also sponsor a series of workshops on topics in the field; they typically include lectures in the mornings and hands-on sessions in the afternoon. In addition, we help host a seminar series, with presentations by Weizmann researchers and visitors from elsewhere.
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