01604nas a2200145   4500008004100000245007400041210006900115260000800184490000600192520109200198100001701290700002401307700002101331856010601352       2015                        eng d00aIdentification and computational analysis of gene regulatory elements0 aIdentification and computational analysis of gene regulatory ele  cJAN0 v13 a<p>Over the last two decades, advances in experimental and computational technologies have greatly facilitated genomic research. Next-generation sequencing technologies have made de novo sequencing of large genomes affordable, and powerful computational approaches have enabled accurate annotations of genomic DNA sequences. Charting functional regions in genomes must account for not only the coding sequences, but also noncoding RNAs, repetitive elements, chromatin states, epigenetic modifications, and gene regulatory elements. A mix of comparative genomics, high-throughput biological experiments, and machine learning approaches has played a major role in this truly global effort. Here we describe some of these approaches and provide an account of our current understanding of the complex landscape of the human genome. We also present overviews of different publicly available, large-scale experimental data sets and computational tools, which we hope will prove beneficial for researchers working with large and complex genomes. © 2015 Cold Spring Harbor Laboratory Press.</p>1 aTaher, Leila1 aNarlikar, Leelavati1 aOvcharenko, Ivan  uhttps://library.ncl.res.in/content/identification-and-computational-analysis-gene-regulatory-elements