Experience bioinformatics approaches to processing genomic data and distilling consequential biomedical information. Genomic sequencing technologies deliver massive volumes of data that require dedicated handling methods and diverse abilities for troubleshooting. This hands-on course focuses on UNIX-based analysis tasks commonly employed in the field. Instruction covers general considerations ranging from experiment configuration, data QC, and software systems, to tuning of algorithms and visualization of results. In addition, assigned work with public datasets will provide students with weekly hands-on experience with several widely used techniques, including read mapping, variant calling, annotation, and pipeline construction. Class sessions consist of video lectures covering slides, some assigned reading, quizzes, and directed forum participation. Mandatory data processing homework is a significant part of this class.
By the end of the course, you will be able to:
- Compare the utility of different types of sequencing experiments
- Structure bioinformatic pipelines to fit the experiment
- Implement steps in bioinformatic processing
- Critique genomic processing results
For more information on this course, please contact: appliedscience@ucsd.edu
Course Number: BIOL-40327
Credit: 3.00 unit(s)
Related Certificate Programs: Applied Bioinformatics
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9/30/2024 - 12/6/2024
$725
Online
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CLASS TYPE:
Online Asynchronous.
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Zare, Fatima
Dr. Fatima Zare is a seasoned bioinformatics scientist and currently serves as a Bioinformatics Data Scientist III at Thermo Fisher Scientific. With a strong mathematical background and over 8 years of experience, Fatima specializes in predictive modeling, data processing, and data mining for clinical genomics. Skilled in all phases of data science projects, Fatima excels in data extraction, cleaning, statistical modeling, and visualization using both small and large datasets. Proficient in Python and R, Fatima utilizes libraries like Pandas, NumPy, TensorFlow, and Scikit-Learn for machine learning and predictive modeling, including regression, clustering, NLP, and time series analysis. With experience in Jupyter Notebook, Google Colab, and PyCharm, Fatima conducts comprehensive data an...Read More
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TEXTBOOKS:
No information available at this time.
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9/30/2024 - 12/6/2024
extensioncanvas.ucsd.edu
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
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1/13/2025 - 3/21/2025
$725
Online
-
-
-
CLASS TYPE:
Online Asynchronous.
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Zare, Fatima
Dr. Fatima Zare is a seasoned bioinformatics scientist and currently serves as a Bioinformatics Data Scientist III at Thermo Fisher Scientific. With a strong mathematical background and over 8 years of experience, Fatima specializes in predictive modeling, data processing, and data mining for clinical genomics. Skilled in all phases of data science projects, Fatima excels in data extraction, cleaning, statistical modeling, and visualization using both small and large datasets. Proficient in Python and R, Fatima utilizes libraries like Pandas, NumPy, TensorFlow, and Scikit-Learn for machine learning and predictive modeling, including regression, clustering, NLP, and time series analysis. With experience in Jupyter Notebook, Google Colab, and PyCharm, Fatima conducts comprehensive data an...Read More
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TEXTBOOKS:
No information available at this time.
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POLICIES:
No refunds after: 1/20/2025.
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1/13/2025 - 3/21/2025
extensioncanvas.ucsd.edu
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or unex-sciencetech@ucsd.edu for information about when this course will be offered again.