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Related papers: PICS: Probabilistic Inference for ChIP-seq

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We present a new algorithm for the identification of bound regions from ChIP-seq experiments. Our method for identifying statistically significant peaks from read coverage is inspired by the notion of persistence in topological data…

Genomics · Quantitative Biology 2010-05-06 Valerie Hower , Steven N. Evans , Lior Pachter

Many peak detection algorithms have been proposed for ChIP-seq data analysis, but it is not obvious which method and what parameters are optimal for any given data set. In contrast, peaks can easily be located by visual inspection of…

Genomics · Quantitative Biology 2014-09-23 Toby Dylan Hocking , Patricia Goerner-Potvin , Andreanne Morin , Xiaojian Shao , Guillaume Bourque

Background: Chromatin immunoprecipitation coupled to next generation sequencing (ChIP-Seq) is a widely used technique to investigate the function of chromatin-related proteins in a genome-wide manner. ChIP-Seq generates large quantities of…

Genomics · Quantitative Biology 2019-11-01 Marcelo Ponce , Alejandro Saettone , Syed Nabeel-Shah , Jeffrey Fillingham

Chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) provides insights into both the genomic location occupied by the protein of interest and the difference in DNA occupancy between experimental states. Given that…

Genomics · Quantitative Biology 2025-06-13 Sara Colando , Danae Schulz , Johanna Hardin

A topological multiple testing approach to peak detection is proposed for the problem of detecting transcription factor binding sites in ChIP-Seq data. After kernel smoothing of the tag counts over the genome, the presence of a peak is…

Applications · Statistics 2013-05-29 Armin Schwartzman , Andrew Jaffe , Yulia Gavrilov , Clifford A. Meyer

Effective training of deep image segmentation models is challenging due to the need for abundant, high-quality annotations. Generating annotations is laborious and time-consuming for human experts, especially in medical image segmentation.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Vikas Dwivedi , Balaji Srinivasan , Ganapathy Krishnamurthi

Motivation: Histone modification constitutes a basic mechanism for the genetic regulation of gene expression. In early 2000s, a powerful technique has emerged that couples chromatin immunoprecipitation with high-throughput sequencing…

Quantitative Methods · Quantitative Biology 2020-12-16 Arnaud Liehrmann , Guillem Rigaill , Toby Dylan Hocking

In the context of biometrics, matching confidence refers to the confidence that a given matching decision is correct. Since many biometric systems operate in critical decision-making processes, such as in forensics investigations,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Pedro C. Neto , Ana F. Sequeira , Jaime S. Cardoso , Philipp Terhörst

Due to its specificity, fluorescence microscopy (FM) has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit FM's utility. Recently, it has been shown that…

Complete genome sequences contain valuable information about natural selection, but extracting this information for short, widely scattered noncoding elements remains a challenging problem. Here we introduce a new computational method for…

Genomics · Quantitative Biology 2015-03-19 Ilan Gronau , Leonardo Arbiza , Jaaved Mohammed , Adam Siepel

Evolution in its course found a variety of solutions to the same optimisation problem. The advent of high-throughput genomic sequencing has made available extensive data from which, in principle, one can infer the underlying structure on…

Quantitative Methods · Quantitative Biology 2016-04-12 Silvia Grigolon , Silvio Franz , Matteo Marsili

Phishing, a continuously growing cyber threat, aims to obtain innocent users' credentials by deceiving them via presenting fake web pages which mimic their legitimate targets. To date, various attempts have been carried out in order to…

Cryptography and Security · Computer Science 2019-05-21 Firat Coskun Dalgic , Ahmet Selman Bozkir , Murat Aydos

The development of novel high-throughput sequencing (HTS) methods for RNA (RNA-Seq) has provided a very powerful mean to study splicing under multiple conditions at unprecedented depth. However, the complexity of the information to be…

Genomics · Quantitative Biology 2015-08-03 Gael P. Alamancos , Eneritz Agirre , Eduardo Eyras

CLIP-seq methods are valuable techniques to experimentally determine transcriptome-wide binding sites of RNA-binding proteins. Despite the constant improvement of such techniques (e.g. eCLIP), the results are affected by various types of…

Biomolecules · Quantitative Biology 2024-12-31 Gianluca Corrado , Michael Uhl , Rolf Backofen , Andrea Passerini , Fabrizio Costa

Unsupervised learning plays an important role in many fields, such as artificial intelligence, machine learning, and neuroscience. Compared to static data, methods for extracting low-dimensional structure for dynamic data are lagging. We…

Machine Learning · Computer Science 2022-03-07 Rui Meng , Tianyi Luo , Kristofer Bouchard

The notion that transcription factors bind DNA only through specific, consensus binding sites has been recently questioned. In a pioneering study by Pugh and Venters no specific consensus motif for the positioning of the human…

Biomolecules · Quantitative Biology 2017-06-28 Matan Goldshtein , David B. Lukatsky

Referring image segmentation aims to segment a referent via a natural linguistic expression.Due to the distinct data properties between text and image, it is challenging for a network to well align text and pixel-level features. Existing…

Computer Vision and Pattern Recognition · Computer Science 2022-03-16 Zhaoqing Wang , Yu Lu , Qiang Li , Xunqiang Tao , Yandong Guo , Mingming Gong , Tongliang Liu

Photoactivatable ribonucleoside-enhanced cross-linking and immunoprecipitation (PAR-CLIP) is an experimental method based on next-generation sequencing for identifying the RNA interaction sites of a given protein. The method deliberately…

Quantitative Methods · Quantitative Biology 2015-04-08 Monica Golumbeanu , Pejman Mohammadi , Niko Beerenwinkel

Annotation of medical images, such as MRI and CT scans, is crucial for evaluating treatment efficacy and planning radiotherapy. However, the extensive workload of medical professionals limits their ability to annotate large image datasets,…

Image and Video Processing · Electrical Eng. & Systems 2025-03-03 Eichi Takaya , Shinnosuke Yamamoto

Genome-wide gene expression profiles, as measured with microarrays or RNA-Seq experiments, have revolutionized biological and biomedical research by providing a quantitative measure of the entire mRNA transcriptome. Typically, researchers…

Applications · Statistics 2013-08-01 Neil R. Clark , Kevin Hu , Edward Y. Chen , Qioanan Duan , Avi Ma`ayan
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