| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Bayesian hierarchical model for analyzing methylated RNA immunoprecipitation sequencing data
|
Zhang, Minzhe
|
|
2018
|
|
3 |
p. 275-286
|
artikel
|
| 2 |
Advances and challenges towards the study of RNA-RNA interactions in a transcriptome-wide scale
|
Gong, Jing
|
|
2018
|
|
3 |
p. 239-252
|
artikel
|
| 3 |
Advances in computational ChIA-PET data analysis
|
He, Chao
|
|
2016
|
|
3 |
p. 217-225
|
artikel
|
| 4 |
Analysis of alternative cleavage and polyadenylation in mature and differentiating neurons using RNA-seq data
|
Guvenek, Aysegul
|
|
2018
|
|
3 |
p. 253-266
|
artikel
|
| 5 |
An introduction to computational tools for differential binding analysis with ChIP-seq data
|
Tu, Shiqi
|
|
2017
|
|
3 |
p. 226-235
|
artikel
|
| 6 |
An overview of major metagenomic studies on human microbiomes in health and disease
|
Cui, Hongfei
|
|
2016
|
|
3 |
p. 192-206
|
artikel
|
| 7 |
Applications of single-cell technology on bacterial analysis
|
Ma, Zhixin
|
|
2019
|
|
3 |
p. 171-181
|
artikel
|
| 8 |
Applications of species accumulation curves in large-scale biological data analysis
|
Deng, Chao
|
|
2015
|
|
3 |
p. 135-144
|
artikel
|
| 9 |
A survey on de novo assembly methods for single-molecular sequencing
|
Chen, Ying
|
|
|
|
3 |
p. 203-215
|
artikel
|
| 10 |
Automated interpretation of metabolic capacity from genome and metagenome sequences
|
Kanehisa, Minoru
|
|
2013
|
|
3 |
p. 192-200
|
artikel
|
| 11 |
Biology by the numbers on the Hawaiian Islands
|
Bhatnagar, Rajat
|
|
2013
|
|
3 |
p. 221-226
|
artikel
|
| 12 |
Cellbow: a robust customizable cell segmentation program
|
Ren, Huixia
|
|
|
|
3 |
p. 245-255
|
artikel
|
| 13 |
CELLO: a longitudinal data analysis toolbox untangling cancer evolution
|
Jiang, Biaobin
|
|
|
|
3 |
p. 256-266
|
artikel
|
| 14 |
2019 China Symposium on Single-Cell Genomics
|
Li, Yinqing
|
|
2019
|
|
3 |
p. 244-246
|
artikel
|
| 15 |
Cis-acting regulatory elements: from random screening to quantitative design
|
Meng, Hailin
|
|
2015
|
|
3 |
p. 107-114
|
artikel
|
| 16 |
Cistrome Data Browser and Toolkit: analyzing human and mouse genomic data using compendia of ChIP-seq and chromatin accessibility data
|
Zheng, Rongbin
|
|
|
|
3 |
p. 267-276
|
artikel
|
| 17 |
Computational prediction and functional analysis of arsenic-binding proteins in human cells
|
Pang, Shichao
|
|
2019
|
|
3 |
p. 182-189
|
artikel
|
| 18 |
Computational tools for Hi-C data analysis
|
Han, Zhijun
|
|
2017
|
|
3 |
p. 215-225
|
artikel
|
| 19 |
Critical transitions and tipping points in EMT
|
Wang, Peng
|
|
|
|
3 |
p. 195-202
|
artikel
|
| 20 |
Decoding nervous system by single-cell RNA sequencing
|
Hu, Ganlu
|
|
2017
|
|
3 |
p. 210-214
|
artikel
|
| 21 |
Design of efficient simplified genomic DNA and bisulfite sequencing in large plant populations
|
Wu, Jinhua
|
|
2016
|
|
3 |
p. 226-239
|
artikel
|
| 22 |
Determination of specificity influencing residues for key transcription factor families
|
Patel, Ronak Y.
|
|
2015
|
|
3 |
p. 115-123
|
artikel
|
| 23 |
DNA sequencing using nanopores and kinetic proofreading
|
Ling, Xinsheng Sean
|
|
|
|
3 |
p. 187-194
|
artikel
|
| 24 |
EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information
|
Song, Shaoming
|
|
2019
|
|
3 |
p. 233-243
|
artikel
|
| 25 |
ePlant for quantitative and predictive plant science research in the big data era—Lay the foundation for the future model guided crop breeding, engineering and agronomy
|
Xiao, Yi
|
|
2017
|
|
3 |
p. 260-271
|
artikel
|
| 26 |
Erratum to: Delineating the respective impacts of stochastic curl- and grad-forces in a family of idealized core genetic commitment circuits
|
Turcotte, Marc
|
|
2016
|
|
3 |
p. 240-241
|
artikel
|
| 27 |
Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity
|
Chen, Qingfeng
|
|
|
|
3 |
p. 277
|
artikel
|
| 28 |
Germline genomes have a dominant-heritable contribution to cancer immune evasion and immunotherapy response
|
Jiang, Xue
|
|
|
|
3 |
p. 216-227
|
artikel
|
| 29 |
Identification of candidate disease genes in patients with common variable immunodeficiency
|
Liu, Guojun
|
|
2019
|
|
3 |
p. 190-201
|
artikel
|
| 30 |
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity
|
Chen, Qingfeng
|
|
2019
|
|
3 |
p. 202-209
|
artikel
|
| 31 |
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity
|
Chen, Qingfeng
|
|
|
|
3 |
p. 202-209
|
artikel
|
| 32 |
Mapping transcriptome-wide protein-RNA interactions to elucidate RNA regulatory programs
|
Hannigan, Molly M.
|
|
2018
|
|
3 |
p. 228-238
|
artikel
|
| 33 |
Modeling and analysis of RNA-seq data: a review from a statistical perspective
|
Li, Wei Vivian
|
|
2018
|
|
3 |
p. 195-209
|
artikel
|
| 34 |
Modeling stochastic phenotype switching and bet-hedging in bacteria: stochastic nonlinear dynamics and critical state identification
|
Jia, Chen
|
|
2014
|
|
3 |
p. 110-125
|
artikel
|
| 35 |
Models, methods and tools for ancestry inference and admixture analysis
|
Yuan, Kai
|
|
2017
|
|
3 |
p. 236-250
|
artikel
|
| 36 |
Monitoring and mathematical modeling of mitochondrial ATP in myotubes at single-cell level reveals two distinct population with different kinetics
|
Matsuda, Naoki
|
|
|
|
3 |
p. 228-237
|
artikel
|
| 37 |
Multifaceted roles of complementary sequences on circRNA formation
|
Yang, Qin
|
|
2017
|
|
3 |
p. 205-209
|
artikel
|
| 38 |
Network-based method to infer the contributions of proteins to the etiology of drug side effects
|
Li, Rui
|
|
2015
|
|
3 |
p. 124-134
|
artikel
|
| 39 |
OP-Synthetic: identification of optimal genetic manipulations for the overproduction of native and non-native metabolites
|
Liu, Honglei
|
|
2014
|
|
3 |
p. 100-109
|
artikel
|
| 40 |
PICB: facing the new challenge and opportunity of big data
|
Wang, Zefeng
|
|
2017
|
|
3 |
p. 203-204
|
artikel
|
| 41 |
Population dynamics inside cancer biomass driven by repeated hypoxia-reoxygenation cycles
|
Zhang, Chi
|
|
2014
|
|
3 |
p. 85-99
|
artikel
|
| 42 |
Population dynamics of cancer cells with cell state conversions
|
Zhou, Da
|
|
2013
|
|
3 |
p. 201-208
|
artikel
|
| 43 |
Pre-mRNA modifications and their role in nuclear processing
|
Martinez, Nicole M.
|
|
2018
|
|
3 |
p. 210-227
|
artikel
|
| 44 |
Rational design of a biosensor circuit with semi-log dose-response function in Escherichia coli
|
Zhang, Haoqian
|
|
2013
|
|
3 |
p. 209-220
|
artikel
|
| 45 |
Revisiting the false positive rate in detecting recent positive selection
|
Xiang-Yu, Jinggong
|
|
2016
|
|
3 |
p. 207-216
|
artikel
|
| 46 |
ShapeShifter: a novel approach for identifying and quantifying stable lariat intronic species in RNAseq data
|
Taggart, Allison J.
|
|
2018
|
|
3 |
p. 267-274
|
artikel
|
| 47 |
Single molecule fluorescence spectroscopy for quantitative biological applications
|
Liu, Ruchuan
|
|
2016
|
|
3 |
p. 177-191
|
artikel
|
| 48 |
Special issue on RNA processing and regulation
|
Xiao, Xinshu
|
|
2018
|
|
3 |
p. 193-194
|
artikel
|
| 49 |
Strategic planning for national biomedical big data infrastructure in China
|
Wang, Zhen
|
|
2017
|
|
3 |
p. 272-275
|
artikel
|
| 50 |
Structure-based protein-protein interaction networks and drug design
|
Naveed, Hammad
|
|
2013
|
|
3 |
p. 183-191
|
artikel
|
| 51 |
TACO: Taxonomic prediction of unknown OTUs through OTU co-abundance networks
|
Irannia, Zohreh Baharvand
|
|
2016
|
|
3 |
p. 149-158
|
artikel
|
| 52 |
The system capacity view of aging and longevity
|
Han, Jing-Dong J.
|
|
2017
|
|
3 |
p. 251-259
|
artikel
|
| 53 |
Transportation, germs, culture: a dynamic graph model of COVID-19 outbreak
|
Yang, Xiaofei
|
|
|
|
3 |
p. 238-244
|
artikel
|
| 54 |
Understanding traditional Chinese medicine via statistical learning of expert-specific Electronic Medical Records
|
Yang, Yang
|
|
2019
|
|
3 |
p. 210-232
|
artikel
|
| 55 |
Variation of repetitive cortical spreading depression waves is related with relative refractory period: a computational study
|
Li, Bing
|
|
2015
|
|
3 |
p. 145-156
|
artikel
|
| 56 |
XFEL data analysis for structural biology
|
Liu, Haiguang
|
|
2016
|
|
3 |
p. 159-176
|
artikel
|
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