01249nas a2200145   4500008004100000245009600041210006900137260000800206300001100214490000800225520070800233100002400941700001600965856012200981       2012                        eng d00aChIP-Seq data analysis: identification of protein-DNA binding sites with SISSRs peak-finder0 aChIPSeq data analysis identification of proteinDNA binding sites  cJAN  a305-220 v8023 aProtein-DNA interactions play key roles in determining gene-expression programs during cellular development and differentiation. Chromatin immunoprecipitation (ChIP) is the most widely used assay for probing such interactions. With recent advances in sequencing technology, ChIP-Seq, an approach that combines ChIP and next-generation parallel sequencing is fast becoming the method of choice for mapping protein-DNA interactions on a genome-wide scale. Here, we briefly review the ChIP-Seq approach for mapping protein-DNA interactions and describe the use of the SISSRs peak-finder, a software tool for precise identification of protein-DNA binding sites from sequencing data generated using ChIP-Seq.1 aNarlikar, Leelavati1 aJothi, Raja  uhttps://library.ncl.res.in/content/chip-seq-data-analysis-identification-protein-dna-binding-sites-sissrs-peak-finder01237nas a2200169   4500008004100000022001400041245005600055210005500111260007200166300001200238490000700250520066300257100001700920700002400937700002100961856008500982       2012                        eng d  a1367-480300aClare: cracking the language of regulatory elements0 aClare cracking the language of regulatory elements  aGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLANDbOXFORD UNIV PRESScFEB  a581-5830 v283 a<p>CLARE is a computational method designed to reveal sequence encryption of tissue- specific regulatory elements. Starting with a set of regulatory elements known to be active in a particular tissue/process, it learns the sequence code of the input set and builds a predictive model from features specific to those elements. The resulting model can then be applied to user-supplied genomic regions to identify novel candidate regulatory elements. CLARE's model also provides a detailed analysis of transcription factors that most likely bind to the elements, making it an invaluable tool for understanding mechanisms of tissue- specific gene regulation.</p>1 aTaher, Leila1 aNarlikar, Leelavati1 aOvcharenko, Ivan  uhttps://library.ncl.res.in/content/clare-cracking-language-regulatory-elements-0