United States

Next-Generation Genomics 2021

Single-cell multi-omics defines the cell-type specific impact of splicing factor mutations on human hematopoietic differentiation

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We’re connecting the scientific community and bringing the ultimate virtual summit to you. Learn about the latest trends in immunology from today’s influencers. Discover how they leverage high-dimensional biology to drive new discoveries and research. Earn CE credit. All from your browser. All at no cost to you.
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Free registration

Insights Immunology 2021

We’re connecting the scientific community and bringing the ultimate virtual summit to you. Learn about the latest trends in immunology from today’s influencers. Discover how they leverage high-dimensional biology to drive new discoveries and research. Earn CE credit. All from your browser. All at no cost to you.

2021 Insights Immunology event page: https://underline.io/events/173/reception


technical paper

Recent years have given rise to breathtaking advances in genomics, nano-technology, and computation. These fields continue to evolve rapidly, with applications across nearly all biological disciplines. In this conference, we aim to showcase the ‘next-generation’ of genomic methods and technologies, and in particular to provide a platform for junior faculty to present recent discoveries and innovations. This virtual conference will feature advances in both computational and experimental methods, including single cell analysis, genetic engineering, population genetics, and statistical and deep learning. 

The meeting will take on September 27-28 from 10:00AM-5:30PM EDT, and we will release a detailed agenda prior to the conference.

We gratefully acknowledge funding from the Chan Zuckerberg Initiative that enables us to offer open and free registration for Next-Generation Genomics 2021.  
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**Registration is free and open to all attendees**. Please use [this link](https://ngg2021reg.paperform.co/) to register and reserve your attendance at the conference.



This conference will feature advances in both computational and experimental methods, including single cell analysis, genetic engineering, population genetics, and statistical and deep learning.

Milo: differential abundance testing on single-cell data using KNN graphs

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Milo: differential abundance testing on single-cell data using KNN graphs

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Leveraging the power of high-parameter cell sorting and single-cell multiomics to profile intratumoral immune cells in a modal of B-cell lymphoma

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Next from Next-Generation Genomics 2021

Milo: differential abundance testing on single-cell data using KNN graphs

Similar lecture

Leveraging the power of high-parameter cell sorting and single-cell multiomics to profile intratumoral immune cells in a modal of B-cell lymphoma

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads