📽 Multi-omics in Health and Disease: Current Applications, Challenges and Future Directions.
Recorded Workshops from National Human Genome Research Institute
▫️Session 1: Setting the stage: Application of Multi-omics to study Health & Disease
▫️Session 2: Technology, Data Integration and Study Design
▫️Session 3: Application of Multi-omics to Observational Studies
▫️Session 4: Future Clinical Implementation: Roadblocks and Opportunities
▫️Session 5: Recommendations to National Human Genome Research Institute
📲Channel: @Bioinformatics
Recorded Workshops from National Human Genome Research Institute
▫️Session 1: Setting the stage: Application of Multi-omics to study Health & Disease
▫️Session 2: Technology, Data Integration and Study Design
▫️Session 3: Application of Multi-omics to Observational Studies
▫️Session 4: Future Clinical Implementation: Roadblocks and Opportunities
▫️Session 5: Recommendations to National Human Genome Research Institute
📲Channel: @Bioinformatics
YouTube
Multi-omics in Health and Disease (Session 1)
On June 17-18, 2021, NHGRI hosted a workshop, Multi-omics in Health and Disease: Current Applications, Challenges and Future Directions.
About the workshop: https://www.genome.gov/event-calendar/multi-omics-in-health-and-disease
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About the workshop: https://www.genome.gov/event-calendar/multi-omics-in-health-and-disease
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📑72 pages review paper on
Biological computation and computational biology: survey, challenges, and discussion
💥In this paper, we presented a review on biological computation and various important sectors of computational biology, discussed the interface between these two research areas and finally we identified a set of challenges for better synergies between biology and computation. We aimed at presenting how various computational techniques have been inspired from the nature, and, on the other hand, how computational techniques and mathematical modeling have been used to solve various biological questions. We presented a reasonably comprehensive review on biological computation, showing the tremendous impact and contribution this nature has on developing computational techniques.💥
🌐Read the paper
📲Channel: @Bioinformatics
Biological computation and computational biology: survey, challenges, and discussion
💥In this paper, we presented a review on biological computation and various important sectors of computational biology, discussed the interface between these two research areas and finally we identified a set of challenges for better synergies between biology and computation. We aimed at presenting how various computational techniques have been inspired from the nature, and, on the other hand, how computational techniques and mathematical modeling have been used to solve various biological questions. We presented a reasonably comprehensive review on biological computation, showing the tremendous impact and contribution this nature has on developing computational techniques.💥
🌐Read the paper
📲Channel: @Bioinformatics
🦠How bioinformatics is playing key role in the study of the virus and its origin
Case study: SARS-CoV-2
🌐Read the paper
📲Channel: @Bioinformatics
Case study: SARS-CoV-2
🌐Read the paper
📲Channel: @Bioinformatics
🧑🏫 NGS Data Analysis Workshop
Learn the most demanded skill in Bioinformatics without the need to code!
⏱ When:
27 - 30 July | 6:30 to 8:30 PM IST
💵 Fee:
Rs 1000 for Indian Nationals | USD 20 for Foreign Nationals
✅ All sessions will be conducted on Zoom
✅ Recording for each session will be shared with the participants
✅ An e-Certificate will be provided to all the participants
✍🏻Registration and more information:
https://genespectrum.co.in/bioinformatics-training/ngs-data-analysis-with-galaxy/#register
📲Channel: @Bioinformatics
Learn the most demanded skill in Bioinformatics without the need to code!
⏱ When:
27 - 30 July | 6:30 to 8:30 PM IST
💵 Fee:
Rs 1000 for Indian Nationals | USD 20 for Foreign Nationals
✅ All sessions will be conducted on Zoom
✅ Recording for each session will be shared with the participants
✅ An e-Certificate will be provided to all the participants
✍🏻Registration and more information:
https://genespectrum.co.in/bioinformatics-training/ngs-data-analysis-with-galaxy/#register
📲Channel: @Bioinformatics
👨🏫 Free Online Course: High-Dimensional Data Analysis
from Harvard University supporting by NIH Grant
🗓 Duration: 4 weeks long
🕦 Time Commitment: 2-4 hours per week
✍️ Level: Intermediate, self paced
💥What you'll learn:
▫️Mathematical Distance
▫️Dimension Reduction
▫️Singular Value Decomposition and Principal Component Analysis
▫️Multiple Dimensional Scaling Plots
▫️Factor Analysis
▫️Dealing with Batch Effects
🔰Open till September 14, 2021
ℹ️ More information and Participation
📲Channel: @Bioinformatics
from Harvard University supporting by NIH Grant
🗓 Duration: 4 weeks long
🕦 Time Commitment: 2-4 hours per week
✍️ Level: Intermediate, self paced
💥What you'll learn:
▫️Mathematical Distance
▫️Dimension Reduction
▫️Singular Value Decomposition and Principal Component Analysis
▫️Multiple Dimensional Scaling Plots
▫️Factor Analysis
▫️Dealing with Batch Effects
🔰Open till September 14, 2021
ℹ️ More information and Participation
📲Channel: @Bioinformatics
💎Artificial intelligence for clinical oncology
Valuable paper from Cancer Cell Journal (IF=35.45)
🌐 Read the paper
📲Channel: @Bioinformatics
Valuable paper from Cancer Cell Journal (IF=35.45)
🌐 Read the paper
📲Channel: @Bioinformatics
📑MicroRNAs and complex diseases: from experimental results to computational models
🌐 Read the paper
📲Channel: @Bioinformatics
🌐 Read the paper
📲Channel: @Bioinformatics
🎞Becoming Informed About Comprehensive Genomic Profiling
Resources available to support patients and community oncologists who are interested in learning more and gaining access to comprehensive biomarker testing
📽 Watch & Study
📲Channel: @Bioinformatics
Resources available to support patients and community oncologists who are interested in learning more and gaining access to comprehensive biomarker testing
📽 Watch & Study
📲Channel: @Bioinformatics
📈Artificial intelligence in structural biology
🌐Read the editorial note of Nature journal
📲Channel: @Bioinformatics
🌐Read the editorial note of Nature journal
📲Channel: @Bioinformatics