Matching queried single-cell open-chromatin profiles to large pools of single-cell transcriptomes and epigenomes for reference supported analysis.

Mishra, Shreya; Pandey, Neetesh; Chawla, Smriti; Sharma, Madhu; Chandra, Omkar; Jha, Indra Prakash; SenGupta, Debarka; Natarajan, Kedar Nath; Kumar, Vibhor

Mishra, Shreya; Pandey, Neetesh; Chawla, Smriti; Sharma, Madhu; Chandra, Omkar; Jha, Indra Prakash; SenGupta, Debarka; Natarajan, Kedar Nath; Kumar, Vibhor.

Afiliação

Mishra S; Department for Computational Biology, IIIT Delhi 110020, India.
Pandey N; Department for Computational Biology, IIIT Delhi 110020, India.
Chawla S; Department for Computational Biology, IIIT Delhi 110020, India.
Sharma M; Department for Computational Biology, IIIT Delhi 110020, India.
Chandra O; Department for Computational Biology, IIIT Delhi 110020, India.
Jha IP; Department for Computational Biology, IIIT Delhi 110020, India.
SenGupta D; Department for Computational Biology, IIIT Delhi 110020, India.
Natarajan KN; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane 4001, Australia.
Kumar V; DTU Bioengineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark kenana@dtu.dk vibhor@iiitd.ac.in.

Genome Res ; 33(2): 218-231, 2023 02.

Article em En | MEDLINE | ID: mdl-36653120

Assuntos

Cromatina; Transcriptoma; Humanos; Cromatina/metabolismo; Epigenoma; Células-Tronco Embrionárias/metabolismo; Análise de Célula Única

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cromatina / Transcriptoma Limite: Humans Idioma: En Revista: Genome Res Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

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