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Cross-linking and immunoprecipitation (CLIP, or CLIP-seq) is a method used in molecular biology that combines UV crosslinking with immunoprecipitation in order to identify RNA binding sites of proteins on a transcriptome-wide scale, thereby increasing our understanding of post-transcriptional regulatory networks.
PAR-CLIP, another method for identifying the binding sites of cellular RNA-binding proteins (RBPs). RIP-Chip, same goal and first steps, but does not use cross linking methods and uses microarray instead of sequencing; SELEX, a method for finding a consensus binding sequence; Competition-ChIP, to measure relative replacement dynamics on DNA.
dCLIP: dCLIP is a Perl program for discovering differential binding regions in two comparative CLIP-Seq (HITS-CLIP, PAR-CLIP or iCLIP) experiments. PARalyzer: PARalyzer is an algorithm that generates a high resolution map of interaction sites between RNA-binding proteins and their targets. The algorithm utilizes the deep sequencing reads ...
Coffee beans are hitting record high prices not seen in nearly 50 years after difficult growing seasons among some of the world's top producing regions. Earlier this week, the Wall Street Journal ...
Bias The bias direction of a piece of woven fabric, usually referred to simply as "the bias", is at 45 degrees to its warp and weft threads. Every piece of woven fabric has two biases, perpendicular to each other. Non-woven fabrics such as felt or interfacing do not have a bias. bias tape Bias tape or bias binding is a narrow strip of fabric ...
Israeli Prime Minister Benjamin Netanyahu successfully underwent surgery to have his prostate removed, hospital officials said Sunday. The 75-year-old leader, who has had a series of health issues ...
Professional poker player Cory Zeidman has pleaded guilty to federal charges in connection with a yearslong sports betting scheme, authorities said Wednesday.
The two-step estimator discussed above is a limited information maximum likelihood (LIML) estimator. In asymptotic theory and in finite samples as demonstrated by Monte Carlo simulations, the full information (FIML) estimator exhibits better statistical properties. However, the FIML estimator is more computationally difficult to implement. [9]