The videos of the lectures can be found in the SIB YouTube channel.
SIB provides several cutting-edge tools for regulatory genomics, that can be used to infer gene regulatory interactions from high-throughput data such as micro-array, RNA-seq and ChIP-seq data. In this course the developers of these tools will teach you how to effectively use these resources on your own data as well as public data, and guide you through the functionalities that the various tools provide, including:
ISMARA By modeling genome-wide gene expression and chromatin state data in terms of computationally predicted binding sites, Motif Activity Response Analysis (MARA) allows automatic inference of the key regulators, their targets, and their interactions from high-throughput data in any system. In recent years MARA has been completely automated into an integrated system (ISMARA) web server that allows any researcher to upload their data and obtain comprehensive predictions of key regulatory network structure in their data within an interactive graphical html interface.
CRUNCH CRUNCH is a completely automated system for processing of transcription factor ChIP-seq data, which includes all basic processing, peak identification and annotation, and comprehensive motif finding and binding site annotation within all identified binding peaks.
ChIP-seq tools The ChIP-seq web server enables users to carry out standard analysis tasks with ChIP-seq and related data, including (i) strand correlation for quality control, (ii) narrow and broad peak finding, and (iii) generation of aggregation plots and heatmaps for genomic context analysis. Users can upload their own data or analyze public data from a large server-resident database.The ChIP-seq server has a modular design.The output from one tool can directly be passed as input to another tool. Complex analysis tasks can thus be accomplished by using different modules in a cascade. Moreover, the output can be sent to associated resources from our group, e.g. the Signal Search Analysis (SSA) server for motif analysis, or to external resources, e.g. GREAT for gene set enrichment analysis.
EPD The Eukaroytic Promoter Database EPD provides access to consensus TSS positions of protein-coding genes and certain classes of non-coding RNAs. During the course, we will focus on the EPD visualization interface, which enables users to explore a large variety of genomic features in a specific promoter or enhancer region of interest with the UCSC genome browser. The EPD viewer dynamically combines and uploades carefully selected tracks from different data repositories, in order to provide an optimal, compact view of a regulatory region. The displayed default tracks include transcription initiation patterns at single-base resolution, histone modification profiles, nucleosome maps, transcription factor binding sites, regulatory SNPs, repetitive elements and cross-species conservation scores.
The mornings will be dedicated to the lectures, which introduce the relevant topics on regulatory genomics methods, and tutorials on the SIB cutting-edge tools: ISMARA, CRUNCH, EPD AND ChIP-seq.
If you are also interested to attend the practicals, which are in the afternoon, apply here.
PhD students, postdocs and other researchers, from any scientific environment (academia, facilities, companies, etc.) working with regulatory genomics data.
This workshop should be of interest to any researcher that aims to make computational inferences about gene regulation from gene expression and chromatin state data, including purely experimental researchers. It will be of particular interest to computational biologists and bioinformatic researchers that analyze gene expression and chromatin state data in their work.
No specific bioinformatic skills are prerequisites, although previous exposure to basic methods for gene expression analysis and transcription factor binding site prediction will be helpful. Attendants are expected to be familiar with the molecular biology of gene regulation in higher eukaryotes.
At the end of this course, the participants will be able to:
The attendants of the workshop will learn about ISMARA, CRUNCH, and ChIP-seq tools, learn what kind of data each tool is able to analyze, how to effective use and tailor these tools to their specific applications, and gain an in-depth understanding of the results that each of these tools provides.
The ISMARA and CRUNCH tools are web-based and don’t require particular bioinformatics competencies. Knowledge of the basic molecular biology of gene regulation in higher eukaryotes is presumed.
This course will be streamed, you are thus required to have your own computer with an internet connection.
9:00 -9:10 Welcome
9:15-10:40 ISMARA: theory and overview (Erik van Nimwegen)
11:00-12:30 ISMARA: in depth discussion of result and interface (Mikhail Pachkov)
12:30-13:30 lunch break
13:30-14:45: CRUNCH (Erik van Nimwegen)
14:45 - End
9:00 - Welcome
9:10 - lecture on ChIP-Seq (Giovanna Ambrosini)
10:40 - break
11:00 - lecture on EPD (Philipp Bucher)
12:25 - Information regarding the practicals
12:30 - End
This course will be streamed to the registered participants, and more information will be sent in due time.
The course will start at 9:00 CET and end around 17:00 CET.
Attendance to lectures are free-of-charge, however registration is mandatory.
You will be informed by email of your registration confirmation.
If you are interested to attend the lectures and practicals, apply here.
Coordination: Patricia Palagi
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