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University of California-Berkeley: Dataset Details, ID=Not Available

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Superfund Research Program

Mapping Proteome-Wide Reactivity of Superfund Chemicals Using Chemoproteomic Platforms

Project Leader: Daniel K. Nomura
Co-Investigator: Christopher Chang
Grant Number: P42ES004705
Funding Period: 2017-2022

Project-Specific Links

Title: Applying genome-wide CRISPR to identify known and novel genes and pathways that modulate formaldehyde toxicity

Accession Number: Not Available

Link to Dataset: https://osf.io/ac6j3/

Repository: Open Science Framework (OSF)

Data Type(s): CRISPR Screen Data, Source code, Underlying data from publication

Organism(s): Homo sapiens

Summary: Description of contents This repository contains data and code for the manuscript Applying genome-wide CRISPR to identify known and novel genes and pathways that modulate formaldehyde toxicity by Yun Zhao et al. available at https://doi.org/10.1016/j.chemosphere.2020.128701. Raw data: Next generation sequencing count data for various CRISPR probes after 8 or 20 days of exposure to 40, 100, or 150 M formaldehyde edgeR results: Test statistics produced by using BioConductor's edgeR package to detect significant differences between control and exposed cell populations Code: Example code to produce results in the edgeR results folder from the count data in the Raw data folder Select CRISPR screen datasets are also available on BioGRID ORCS: 8 days 100 M Formaldehyde 8 days 150 M Formaldehyde

Publication(s) associated with this dataset:
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