United States

Next-Generation Genomics 2021

Mining the epigenome: computational tools to interpret DNA methylation data

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.



Free registration

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

technical paper

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

Synthetic genomic reconstitution reveals principles of mammalian Hox cluster regulation

Long-term DNA recording with ordered insertion mutations

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

Cross-tissue organization of resident macrophage heterogeneity

A human paralog genetic interaction map with implications for cancer therapy and tumor evolution

Computational methods for characterizing spatial gene expression heterogeneity in tissues

Spatial and Single Cell Technologies for Next Generation Neuropathology

A wild-derived mutator locus drives germline mutation spectrum differences in a genetically diverse murine family

Lineage recording reveals the phylodynamics, plasticity and paths of tumor evolution

keynote

https://d3smihljt9218e.cloudfront.net/transcript/24212/subtitle/9e06864d59d808fede27192429e12aa6.vtt

https://d3smihljt9218e.cloudfront.net/transcript/26851/subtitle/8ae7c910b44d73e1edf555f381019d72.vtt

English (automatic)

English

Mining the epigenome: computational tools to interpret DNA methylation data

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

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A human paralog genetic interaction map with implications for cancer therapy and tumor evolution

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Mining the epigenome: computational tools to interpret DNA methylation data

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Next from Next-Generation Genomics 2021

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

Similar lecture

A human paralog genetic interaction map with implications for cancer therapy and tumor evolution

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads