Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcription.

Belyaeva, Anastasiya; Venkatachalapathy, Saradha; Nagarajan, Mallika; Shivashankar, G V; Uhler, Caroline

Belyaeva, Anastasiya; Venkatachalapathy, Saradha; Nagarajan, Mallika; Shivashankar, G V; Uhler, Caroline.

Afiliación

Belyaeva A; Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA 02139.
Venkatachalapathy S; Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139.
Nagarajan M; Mechanobiology Institute, National University of Singapore, Singapore 117411.
Shivashankar GV; Mechanobiology Institute, National University of Singapore, Singapore 117411.
Uhler C; Mechanobiology Institute, National University of Singapore, Singapore 117411.

Proc Natl Acad Sci U S A ; 114(52): 13714-13719, 2017 12 26.

Article en En | MEDLINE | ID: mdl-29229825

Asunto(s)

Cromosomas Humanos; Análisis de Secuencia de ADN/métodos; Transcripción Genética/fisiología; Animales; Cromosomas Humanos/genética; Cromosomas Humanos/metabolismo; Humanos

Palabras clave

3D FISH; Hi-C; chromosome intermingling; epigenetics; network and clustering analysis

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Transcripción Genética / Cromosomas Humanos / Análisis de Secuencia de ADN Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2017 Tipo del documento: Article

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google