See Also. See MLIB_Abs16Sat, MLIB_Abs32 and MLIB_Abs32Sat for more information.
See Also. See MLIB_Sh1L16, MLIB_Sh1L16Sat, MLIB_Sh1R16, MLIB_Sh1L32 and MLIB_Sh1L32Sat for more information.
See Also. See GFLIB_SinTlr, GFLIB_SinLut, GFLIB_CosTlr, GFLIB_Cos12Tlr, GFLIB_CosLut and GFLIB_Tan for more information.
See Also. See GFLIB_Asin, GFLIB_Acos, GFLIB_Atan and GFLIB_AtanYXShifted for more information.
See Also. See GFLIB_Ramp16, GFLIB_DynRamp16 and GFLIB_DynRamp32 for more information. GFLIB_Ramp32
See Also. See MLIB_Add16Sat, MLIB_Add32 and MLIB_Add32Sat for more information.
See Also. See MLIB_Sub16, MLIB_Sub32 and MLIB_Sub32Sat for more information.
See Also. Section 17
See Also. Chromatin Structure and Domains In recent years, fast-growing high-throughput technologies and computational tools have greatly advanced the characterisa- tion of interactions between TFs, cis-REs and target genes and the understanding of transcriptional regulation. Here we review state-of-the-art genome-wide approaches to identify the inter- play between TFs, cis-REs and target genes. We first discuss high-throughput methods that directly allow the identification of cis-REs and target genes regulated by TFs. Subsequently, we discuss the integration of chromatin accessibility to predict func- tional cis-REs and bound TFs in genome-wide studies. We then discuss the three-dimensional nuclear organisation and its impor- tance for accurately associating cis-REs to target genes. Since bioinformatics tools can greatly accelerate our studies, commonly used analysis software packages and methods are summarised with the corresponding methods.
