MGH Division of Clinical Research

Introduction to Bioinformatics of Next Generation Sequencing

Ended: May 23, 2019

Introduction to Bioinformatics of Next-Generation Sequencing

Speaker: Ruslan Sadreyev, Director of Bioinformatics

This introductory mini-course is intended for experimental and clinical researchers who would like to get oriented in basic Bioinformatics concepts and tools. It is intended as a primer that would allow you to better understand general ideas, approaches, and available methods, and to start asking the right questions about your experimental data in the context of major next-generation sequencing applications: RNA-seq, single-cell RNA-seq, ChIP-seq, ATAC-seq, metagenomics, pathway analyses etc.

If you want to drill very deeply into a specific question or to get hands-on experience, this probably isn't a course for you. However, we are open to organizing more in-depth courses and workshops in the future.

Please contact dcredu@partners.org with any questions.


Programs:
Experienced Clinical Research Coordinator Clinical Research Investigator

Category:
Data & Analytics

Sponsor:
MGH Division of Clinical Research

Sessions

Bioinformatics May 9, 2019 05/9/19
2PM-3:30PM
2 PM – 3:30 PM
Simches 3.110, Floor 3, Simches Research Center
Bioinformatics May 23, 2019 05/23/19
2PM-3:30PM
2 PM – 3:30 PM
Simches 3.110, Floor 3, Simches Research Center

Other Offerings

Past Offerings
Introduction to Bioinformatics of Next Generation Sequencing Bioinformatics May 4, 2021 05/4/21
Introduction to Bioinformatics of Next Generation Sequencing Bioinformatics April 30, 2020 04/30/20
Introduction to Bioinformatics of Next Generation Sequencing Bioinformatics May 10, 2018 05/10/18
Introduction to Bioinformatics of Next Generation Sequencing Bioinformatics May 18, 2017 05/18/17

Reviews

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Date Reviewed: May 11, 2021, 2:34 p.m.
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Date Reviewed: May 11, 2021, 1:52 p.m.
Anonymous: I agree with the post that suggested the course be broken into 3 sessions instead of 2. Even though the basics of bioinformatics were covered, there was a LOT of presented information. Better to have too much than too little.
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Date Reviewed: May 11, 2021, 1:10 p.m.
Peichao C:
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Date Attended: May 11, 2021, 11:04 a.m.
Date Reviewed: May 11, 2021, 12:44 p.m.
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Date Reviewed: May 11, 2021, 11:31 a.m.
Paolo D:
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Date Attended: May 11, 2021, 11:04 a.m.
Date Reviewed: May 11, 2021, 11:18 a.m.
Yuanyuan K:
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Date Attended: May 11, 2021, 11:05 a.m.
Date Reviewed: May 11, 2021, 11:09 a.m.
Anonymous: Great course. Higher level introduction to topics would be helpful. Dives into details very quickly. But overall great!
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Date Reviewed: May 11, 2021, 11:09 a.m.
Anonymous: Excellent overview of NGS sequencing technology and analysis for someone who wants to collaborate with bioinformatics teams on clinical/translational research. Agree with others that this could be split into three one hour sessions, and following a single 'case example' through the pipeline could be helpful as a reference point.
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Date Reviewed: May 8, 2020, 4:51 p.m.
Anonymous: Good to review how NGS works overall. This course might be more suitable for bioinformatician who would like to understand what wet researchers are doing before submitting samples. For wet researchers who would like to start bioinformatic analysis, the list of packages are not very useful. Instead, to provide a model case and the pipeline which the NGS core recommends would be more helpful because most wet researchers would like to know the simplest solution to perform the pipeline by themselves.
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Date Reviewed: May 7, 2020, 7:12 p.m.
William H: The course was exactly what it was - an intro to basic principles of NGS Bioinformatics. Great job by Ruslan presenting the content. I've learned quite a bit and was able to obtain food for thought for my (near) future experiments. Well done.
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Date Attended: May 7, 2020, 2:27 p.m.
Date Reviewed: May 7, 2020, 5:46 p.m.
Anonymous: This was an outstanding introduction to basic concepts in NGS analysis. A great help for people anticipating taking advantage of these strategies, and for anyone reading and analyzing research using these techniques. Additional in depth offerings would be great.
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Date Reviewed: May 7, 2020, 4:26 p.m.
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Date Reviewed: May 7, 2020, 4:23 p.m.
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Date Reviewed: May 7, 2020, 4:11 p.m.
Anonymous: As someone with limited knowledge to start I still found the sessions very useful. However, I think the presentations should be at least three sessions rather than two. Thank you for offering.
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Date Reviewed: May 7, 2020, 4:04 p.m.
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Date Reviewed: May 7, 2020, 3:14 p.m.
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Date Reviewed: May 7, 2020, 3:03 p.m.
QianFeng L:
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Date Attended: May 23, 2019, 2:34 p.m.
Date Reviewed: May 29, 2019, 2:34 p.m.
Anonymous: Would be great to have more in depth hands-on training on basic pipelines.
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Date Reviewed: May 24, 2019, 3:29 p.m.
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Date Reviewed: May 24, 2019, 3:11 p.m.
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Date Reviewed: May 24, 2019, 1:33 p.m.
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Date Reviewed: May 24, 2019, 1:33 p.m.
Yanwei S:
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Date Attended: May 23, 2019, 1:56 p.m.
Date Reviewed: May 24, 2019, 1:21 p.m.
Toru H: It was a good introduction course.
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Date Attended: May 11, 2021, 11:04 a.m.
Date Reviewed: May 24, 2019, 1:04 p.m.
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Date Reviewed: May 24, 2019, 12:10 p.m.
Anonymous: It would be really heplful to have a more in depth training in future courses.
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Date Reviewed: May 24, 2019, 12:07 p.m.
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Date Reviewed: May 24, 2019, 12:04 p.m.
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Date Reviewed: May 18, 2018, 2:03 p.m.
Anonymous: It was a decent introductory class. I am not a biologist or have an informatics training, but come from more of a clinical/public health side, so my background knowledge of this was quite preliminary. However, some of the concepts helped me understand a few things that were difficult when I read papers on epigenetics. The first class was informative but the last class was harder to understand without practical use. This is probably a good class for people who have more of a basic sciences training.
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Date Reviewed: May 18, 2018, 1:37 p.m.
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Date Reviewed: May 18, 2018, 12:57 p.m.
Wen-ning Z: Would be great to have further instruction on Bioinformatics for beginners, who are biologists. Walk through the process of data analysis with one simple example of RNAseq data.
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Date Attended: May 17, 2018, 1:25 p.m.
Date Reviewed: May 18, 2018, 11:25 a.m.