This workshop will cover the basic concepts of Python programming. The course is supplemented with many hands-on exercises with emphasis given towards computational biology use cases.
Calendar of Events
35 events found.
Workshops
Calendar of Events
|
M
Mon
|
T
Tue
|
W
Wed
|
T
Thu
|
F
Fri
|
S
Sat
|
S
Sun
|
|---|---|---|---|---|---|---|
|
0 events,
|
2 events,
Unix is a command-line-based platform that is a highly powerful and flexible tool for data management and analysis. First, this workshop introduces the basic concepts of UNIX operating system and shell scripting. We will explore essential hands-on skills to confidently use the command line interface on either a local (laptop) or a remote (hoffman2 cluster) […] |
2 events,
|
2 events,
|
0 events,
|
0 events,
|
0 events,
|
|
0 events,
|
2 events,
High-throughput sequencing technology involves a number of concepts and techniques that shape a project before application-specific processes are utilized. First, this workshop introduces the more “universal” aspects of high-throughput sequence analysis—from experimental design to sequencing and alignment methods. Next, this workshop covers common file formats for sequence data and limitations of sequencing technologies. We will […] This workshop will cover some more advanced topics in python including an overview of object-oriented python (this will not be an in-depth course on object-oriented programming), use of the numpy and pandas libraries (python libraries for efficient handling of large numeric and heterogenous datasets, and matplotlib for plotting results. At the end of this workshop, […] |
0 events,
|
0 events,
|
0 events,
|
||
|
0 events,
|
2 events,
This workshop will cover the basic principles involved in the applications mentioned above, such as pattern recognition, linear and non-linear regression and cluster analysis. The workshop will be oriented towards hands-on activities, starting from the basics of how to load and prepare biological datasets in a Python environment. This workshop will cover the basis of Next-Gen Sequencing Library Preparation for Illumina Sequencers. Different Library Preparation Techniques (DNA-seq, ChIP-seq, RNA-seq, Methyl-seq) are explained the first and second day in class. The third day, Quality Control steps of the starting input material and final libraries are performed in the Lab (TapeStation). Purification from Primer Dimers […] |
0 events,
|
0 events,
|
0 events,
|
||
|
0 events,
|
2 events,
R (www.r-project.org) is a free software environment for statistical computing and graphics. First, this workshop introduces basic concepts, syntax, and usage in R programming, statistical analysis, and visualization techniques. We will conduct hands-on tutorials throughout the session, giving attendees a chance to see R in action. This course is a pre-requisite for several other Collaboratory […] This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM), their application in Python for inference, and specific use-cases in Genomics. Experience with Python is necessary, and basic knowledge about ML workflows is preferred. At the end of this workshop, you WILL be comfortable with loading, inferencing and […] |
0 events,
|
0 events,
|
0 events,
|
||
|
0 events,
|
2 events,
The analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet, every dataset can be a unique analysis challenge, and packages may not always work out-of-the-box. In this workshop, we will explore some popular computational tools to extract quantitative information […] The goal of the workshop is to enable the participants to submit and rationally evaluate results of the AlphaFold protein structure predictions. The class will cover the basic principles of the structural biology of proteins, protein structure visualization (in pymol) and protein structure prediction. The participants will have opportunity to generate AlphaFold predictions for a […] |
0 events,
|
0 events,
|
0 events,
|
