Methoden vergleichen

	Zeitreihen-ChIP-seq-Peak-Calling – Temporale Chromatin-Profilierung	ChIP-seq Peak Calling
Fachgebiet	Bioinformatik	Bioinformatik
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	2008–2012 (ChIP-seq); time-series extensions ~2015–2020	2007–2008
Urheber	ENCODE Consortium; extended by Haiminen et al. and broader epigenomics community	Johnson et al. (ChIP-seq concept, 2007); Zhang et al. (MACS algorithm, 2008)
Typ	Computational epigenomics pipeline	Computational genomics pipeline
Wegweisende Quelle	Landt, S. G., Marinov, G. K., Kundaje, A., Kheradpour, P., Pauli, F., Batzoglou, S., ... & Snyder, M. (2012). ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia. Genome Research, 22(9), 1813–1831.	Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., & Liu, X. S. (2008). Model-based analysis of ChIP-seq (MACS). Genome Biology, 9(9), R137.
Aliasnamen	longitudinal ChIP-seq analysis, dynamic ChIP-seq peak calling, time-course ChIP-seq, temporal chromatin profiling	ChIP-seq analysis, peak detection, MACS peak calling, ChIP peak identification
Verwandt	5	6
Zusammenfassung	Time-series ChIP-seq peak calling extends standard chromatin immunoprecipitation sequencing analysis to samples collected at multiple time points. By identifying and comparing protein-DNA binding peaks across a temporal dimension, the method reveals how transcription factor occupancy, histone modifications, or chromatin remodeler binding evolve during biological processes such as differentiation, circadian cycles, or stimulus response.	ChIP-seq peak calling is a computational pipeline that identifies genomic regions where a protein of interest — a transcription factor or histone modification — is enriched, based on sequencing reads from chromatin immunoprecipitation experiments. It converts raw sequencing data into a set of high-confidence binding or modification sites across the genome, enabling downstream analysis of gene regulation, chromatin state, and epigenetic mechanisms.