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Accurate estimation of intrinsic biases for improved analysis of bulk and single-cell chromatin accessibility sequencing data using SELMA

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.22.465530Source: DataRank Database

Accurate estimation of intrinsic biases for improved analysis of bulk and single-cell chromatin accessibility sequencing data using SELMA is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Enrichment:Funding (5 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)

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Authors (9)

Lin Liu ORCID,Qi Li ORCID,Wenjing Ma ORCID,Michael J. Guertin ORCID,Clifford A. Meyer ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3209116872

National Institutes of Health

Grant: 5K22CA204439-03

Quantitative Modeling for Chromatin Regulation of Gene Expression in Cancer

National Science Foundation

Grant: 2048991

Spatial Temporal Analysis of Multi-Subject Neuroimaging Data for Human Emotion Studies

National Institutes of Health

Grant: 2R35GM128635-06

Mechanisms of coordinate gene regulation by transcription factors

National Institutes of Health

Grant: 5R35GM133712-07

Integrative computational models for functional epigenomics and transcriptional regulation

National Institutes of Health

Grant: 3P30CA044579-19S1

Cancer Center Support Grant

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/05/30/2021.10.22.465530.full.pdf

GREENhttps://www.biorxiv.org/content/biorxiv/early/2022/05/30/2021.10.22.465530.full.pdf

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/05/30/2021.10.22.465530.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.10.22.465530

repositoryhttps://doi.org/10.1101/2021.10.22.465530

Fields of Study

Single-cell and spatial transcriptomicsGenomics and Chromatin DynamicsEpigenetics and DNA MethylationBiologyComputer Science0301 basic medicine03 medical and health sciences0206 medical engineering02 engineering and technology

Keywords

ChromatinComputational biologyProfiling (computer programming)Computer scienceInferenceTranscription factorBiologyDNAData miningGeneticsGeneArtificial intelligence