标题
BROCKMAN: deciphering variance in epigenomic regulators by k-mer factorization
作者
关键词
Single-cell, Epigenome, Chromatin, scATAC-seq, K-mer, N-gram, Factorization, Decomposition, Clustering, Transcription factor
出版物
BMC BIOINFORMATICS
Volume 19, Issue 1, Pages -
出版商
Springer Nature
发表日期
2018-07-03
DOI
10.1186/s12859-018-2255-6
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Scaling single-cell genomics from phenomenology to mechanism
- (2017) Amos Tanay et al. NATURE
- chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data
- (2017) Alicia N Schep et al. NATURE METHODS
- Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells
- (2016) Lu Chen et al. CELL
- Histone Acetylome-wide Association Study of Autism Spectrum Disorder
- (2016) Wenjie Sun et al. CELL
- Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens
- (2016) Atray Dixit et al. CELL
- CTRL+INSERT: retrotransposons and their contribution to regulation and innovation of the transcriptome
- (2016) Jonathan Göke et al. EMBO REPORTS
- Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution
- (2016) M Ryan Corces et al. NATURE GENETICS
- Chromatin accessibility maps of chronic lymphocytic leukaemia identify subtype-specific epigenome signatures and transcription regulatory networks
- (2016) André F. Rendeiro et al. Nature Communications
- Single-cell chromatin accessibility reveals principles of regulatory variation
- (2015) Jason D. Buenrostro et al. NATURE
- Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state
- (2015) Assaf Rotem et al. NATURE BIOTECHNOLOGY
- A method to predict the impact of regulatory variants from DNA sequence
- (2015) Dongwon Lee et al. NATURE GENETICS
- Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing
- (2015) D. A. Cusanovich et al. SCIENCE
- SeqGL Identifies Context-Dependent Binding Signals in Genome-Wide Regulatory Element Maps
- (2015) Manu Setty et al. PLoS Computational Biology
- Statistical significance of variables driving systematic variation in high-dimensional data
- (2014) Neo Christopher Chung et al. BIOINFORMATICS
- A Proteome-Scale Map of the Human Interactome Network
- (2014) Thomas Rolland et al. CELL
- Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity
- (2014) Matthew T. Weirauch et al. CELL
- Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex
- (2014) Alex A Pollen et al. NATURE BIOTECHNOLOGY
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
- (2014) Mahmoud Ghandi et al. PLoS Computational Biology
- Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions
- (2013) N. C. Sheffield et al. GENOME RESEARCH
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
- (2013) Alex K. Shalek et al. NATURE
- Fast gapped-read alignment with Bowtie 2
- (2012) Ben Langmead et al. NATURE METHODS
- Dynamic Exchange at Regulatory Elements during Chromatin Remodeling Underlies Assisted Loading Mechanism
- (2011) Ty C. Voss et al. CELL
- Transcription Factor AP1 Potentiates Chromatin Accessibility and Glucocorticoid Receptor Binding
- (2011) Simon C. Biddie et al. MOLECULAR CELL
- Pioneer factors: directing transcriptional regulators within the chromatin environment
- (2011) Luca Magnani et al. TRENDS IN GENETICS
- Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities
- (2010) Sven Heinz et al. MOLECULAR CELL
- Nucleosome-mediated cooperativity between transcription factors
- (2010) L. A. Mirny PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells
- (2010) Y. Taniguchi et al. SCIENCE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started