ID Title Authors
1 ARKS: chromosome-scale human genome scaffolding with linked read kmers René Warren, Lauren Coombe, Jessica Zhang, Benjamin Vandervalk, Justin Chu, Shaun Jackman and Inanc Birol
2 gNOME-Report: an interactive open source platform for prioritizing phenotype-associated and actionable genetic variants In-Hee Lee, Jose A. Negron and Sek Won Kong
3 Improving pairwise comparison of protein sequences with domain co-occurrence Christophe Menichelli, Olivier Gascuel and Laurent Bréhélin
4 Extracting Information from Inaccurate Sequencing Data Gleb Goussarov, Ilse Cleenwerck, Mohamed Mysara, Natalie Leys, Peter Vandamme and Pieter Monsieurs
5 Fine-grained k-mer Feature Modification for Alignement-free NGS Sequence Compsrison Phanucheep Chotnithi and Atsuhiro Takasu
6 pysster: Classification Of Biological Sequences By Learning Sequence And Structure Motifs With Convolutional Neural Networks Stefan Budach and Annalisa Marsico
7 Aindex: a perfect hash sequence index for the fast bioinformatics tools prototyping Aleksey Komissarov
8 Chromosomer 2: reference-based scaffold arranging tool Gaik Tamazian and Aleksey Komissarov
9 Construction of optimal minimizers schemes Guillaume Marcais, Dan Deblasio and Carl Kingsford
10 Multi-Index Bloom Filters: A probabilistic data structure for sensitive multi-reference sequence classification with multiple spaced seeds Justin Chu, Emre Erhan, Hamid Mohamadi, Ben Vandervalk, Jeffrey Tse, Sarah Yeo, Shaun Jackman, Ka Ming Nip, Rene Warren and Inanc Birol
11 Bioinformatics workflow system for massive sequencing data analysis Gunhwan Ko, Pan-Gyu Kim and Byungwook Lee
12 Prediction of complete Hi-C contact maps from genomic sequence alone Christopher J.F. Cameron, Josée Dostie and Mathieu Blanchette
13 Construction of individual recombination maps using linked-read sequencing data Andreea Dreau, Felicity Jones, Vrinda Venu and Ludmila Gaspar
14 Novel-X: novel sequence insertions detection using linked-reads Dmitrii Meleshko and Iman Hajirasouliha
15 Ripo_pipe: A ribosome profiling pipeline optimized for data analysis in metabolism Jordan Berg and Jared Rutter
16 HapCHAT: Adaptive haplotype assembly for efficiently leveraging high coverage in long reads Stefano Beretta, Murray Patterson, Tobias Marschall, Marcel Martin, Simone Zaccaria, Gianluca Della Vedova and Paola Bonizzoni
17 Fast and accurate bisulfite alignment and methylation calling for mammalian genomes Jonas Fischer and Marcel Schulz
18 Refscope: A reference sequence, prior-knowledge system used to assess 10X Genomic Chromium System efficiency in neutralizing repeat noise Claire Jubin, Aurélie Leduc, Florian Sandron, Céline Baulard, Aurélie Perin, Marc Delépine, Anne Boland, Vincent Meyer, Robert Olaso and Jean-François Deleuze
19 A framework for cost-constrained genome rearrangement under Double Cut and Join Pijus Simonaitis and Krister Swenson
20 Minerva: An Alignment and Reference Free Approach to Deconvolve Linked-Reads for Metagenomics David Danko, Dmitrrii Meleshko, Daniela Bezdan, Chris Mason and Iman Hajirasouliha
21 Tigmint: Correct Assembly Errors Using Linked Reads From Large Molecules Shaun Jackman, Lauren Coombe, Justin Chu, Rene Warren, Ben Vandervalk, Sarah Yeo, Zhuyi Xue, Hamid Mohamadi, Joerg Bohlmann, Steven Jones and Inanc Birol
22 Nanopore Sequencing Technology and Tools for Genome Assembly: Computational Analysis of the Current State, Bottlenecks, and Future Directions Damla Senol Cali, Jeremie Kim, Saugata Ghose, Can Alkan and Onur Mutlu
23 Crow: Fast and accurate expression estimation from long reads Laraib Malik, Avi Srivastava and Rob Patro
24 Haplotype Assembly in Single-Cell DNA Sequencing Data Gryte Satas and Benjamin Raphael
25 OMICtools: Facilitate bioinformatics analyses by combining artificial and collective intelligence Emeric Dynomant, Clément Levin, Emeline Duquenne, Ulrich Moutoussamy, Elhadji Thioune, Cyrille Petit, Sébastien Faye, Nicolas Levacher, Fabien Pichon, Marion Denorme and Arnaud Desfeux
26 Investigating the methylation associated with negative gene regulation through RNA-seq and RRBS across 20 tissues Won-Jun Lim, Kyoung Hyoun Kim and Namshin Kim
27 Identification of Transcription Factor Binding Sites using ATAC-seq Zhijian Li, Marcel Schulz, Martin Zenke and Ivan Costa
28 Coupled RNA 5-methylcytosine and alternative splicing as revealed by quantitative analysis of RNA-BisSeq data at alternative isoform level Junfeng Liu and Zhihua Zhang
29 The genome wide study of estrogen receptor (ERa)-regulated enhancers characterization in breast cancer transcriptional program and the repressive role of SUMOlated glucocorticoid receptor (GR) via MegaTrans disassembly by integrating NGS data analysis Qi Ma
30 Alkaloid Biosynthesis-Related Transcriptome and Metabolome Profiling in Poppy Plants Jae Hyeon Oh, Dowan Kim, Min-Seok Jung, Chang Kug Kim and Tae Ho Lee
31 ChIP-seq simulations reveal key sources of variations and suggest experimental design Vishaka Datta and Sridhar Hannenhalli
32 Identification of transcriptional signatures for cell types from single-cell RNA-Seq Lynn Yi, Vasilis Ntranos, Pall Melsted and Lior Pachter
33 Identification of tissue-specific aging-related epigenetic marker using age prediction model Heeyeon Choi and Hojung Nam
34 Construction of Gene Regulatory Networks with Secondary Structures via Multi-task Sparse Group Lasso Yiming Qin, Yaohua Hu, Pak Chung Sham, Zhou Zhou, Bin Yan, Junwen Wang and Jing Qin
35 Improved Normalization of Nanostring nCounter Gene Expression Data Ramyar Molania, Johann A Gagnon-Bartsch, Alexander Dobrovic and Terence P Speed
36 ASGAL: Aligning RNA-Seq Data to a Splicing Graph to Detect Novel Alternative Splicing Events Luca Denti, Raffaella Rizzi, Stefano Beretta, Gianluca Della Vedova, Marco Previtali and Paola Bonizzoni
37 Regulation of splicing by the chromatin factor DNMT3B is associated with specific genomic features in mammary epithelial cells. Sebastien Lemaire, Louis Dulaurier, Hélène Polvèche and Didier Auboeuf
38 CREAM: new feature selection approach for epigenomic profiles of cells Seyed Ali Madani Tonekaboni, Parisa Mazrooei, Benjamin Haibe-Kains and Mathieu Lupien
39 Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes Laura Cantini, Ulykbek Kairov, Aurélien de Reyniès, Emmanuel Barillot, Francois Radvanyi and Andrei Zinovyev
40 Transfer of cell type information across single-cell datasets using adversarial neural networks Hui Ting Grace Yeo and David K Gifford
41 Probing instructions for expression regulation in gene nucleotide compositions Chloé Bessière, May Taha, Florent Petitprez, Jimmy Vandel, Jean-Michel Marin, Laurent Bréhélin, Sophie Lèbre and Charles-Henri Lecellier
42 POSTIT: Multi-task learning to infer transcript isoform regulation from epi-genomics and transcriptomics data Azim Dehghani Amirabad and Marcel Schulz
43 Integrative analysis of single cell expression data reveals distinct regulatory states in bidirectional promoters Fatemeh Behjati Ardakani, Kathrin Kattler, Karl Nordstroem, Nina Gasparoni, Gilles Gasparoni, Sarah Fuchs, Anupam Sinha, Matthias Barann, Peter Ebert, Jonas Fischer, Barbara Hutter, Gideon Zipprich, Baerbel Felder, Juergen Eils, Benedikt Brors, Thomas Lengauer, Thomas Manke, Philip Rosenstiel, Joern Walter and Marcel Schulz
44 Partially blind domain adaptation for age prediction from DNA methylation data Lisa Handl, Adrin Jalali, Michael Scherer and Nico Pfeifer
45 Inferring Gene Regulatory Programs with Mixtures of Sparse Multi-Task Regression Models Tobias Heinen, Azim Dehghani Amirabad, Florian Schmidt and Marcel Schulz
46 Premature termination codon containing transcripts comprise a significant fraction of sequenced mRNAs Anna Hakobyan, Maria Nikoghosyan and Arsen Arakelyan
47 In-silico read normalization using set multi-cover optimization Dilip A. Durai and Marcel H. Schulz
48 Cheatsheet for comparative epigenomic studies Claudia Chica, Alexandra Louis, Hugues Roest Crollius, Vincent Colot and François Roudier
49 Transcriptome reconstruction with quality score distortion in reference-based alignment Ana Hernandez
50 GRASS-C - Graph-based RNA-Seq Analysis in Single cell level Subgraph Clustering Harry Taegyun Yang
51 Profiling adaptive immune repertoires across multiple human tissues by RNA Sequencing Serghei Mangul, Igor Mandric, Alex Zelikovsky and Eleazar Eskin
52 GeFaST: An improved method for OTU assignment by generalising Swarm's fastidious clustering approach Robert Müller and Markus Nebel
53 Search for remote homologous sequences in large metagenomics datasets Romain Lannes, Philippe Lopez and Eric Bapteste
54 Estimating the Total Genome Length of a Metagenomic Sample Using K-mers Kui Hua and Xuegong Zhang
55 Reference-guided genome assembly in metagenomic samples Cervin Guyomar, Wesley Delage, Fabrice Legeai, Mougel Christophe, Jean-Christophe Simon and Claire Lemaitre
56 On the feasibility of mining CD8+ T cell receptor patterns underlying immunogenic peptide recognition Nicolas De Neuter, Wout Bittremieux, Charlie Beirnaert, Bart Cuypers, Aida Mrzic, Pieter Moris, Arvid Suls, Viggo Van Tendeloo, Benson Ogunjimi, Kris Laukens and Pieter Meysman
57 Systematic identification of cancer-specific immunogenic peptides with RAVEN Julia Sophia Gerke, Michaela Baldauf, Andreas Kirschner, Franziska Blaeschke, Manuel Effenberger, Kilian Schober, Rebeca Alba Rubio, Takayuki Kanaseki, Merve Kiran, Marlene Dallmayer, Julian Musa, Nusret Akpolat, Ayse Akatli, Fernando Rosman, Özlem Özen, Shinatro Sugita, Tadashi Hasegawa, Haruhiko Sugimura, Daniel Baumhoer, Maximilian Knott, Giuseppina Sannino, Aruna Marchetto, Jing Li, Dirk Busch, Tobias Feuchtinger, Shunya Ohmura, Martin Orth, Uwe Thiel, Thomas Kirchner and Thomas Grünewald
58 Unsupervised computational deconvolution of mixed signals in tumor microenvironment using blind source deconvolution approach Urszula Czerwinska, Laura Cantini, Ulykbek Kairov, Emmanuel Barillot, Vassili Soumelis and Andrei Zinovyev
59 Modeling Drug Combinatorial Effects in Inflammatory Bowel Disease Lichy Han, Mateusz Maciejewski, Daniel Ziemek and Russ Altman
60 An alignment-free method for the classification of diverse and complex virus groups Dylan Lebatteux, Mohamed Amine Remita and Abdoulaye Baniré Diallo
61 Model-based multiple variants test considering causal status Jong Wha Joo, Farhad Hormozdiari and Eleazar Eskin
62 Evaluation of machine learning methods for genomic prediction of binary and continuous trait in plants Seongmun Jeong, Jae-Yoon Kim, Kyoung Hyoun Kim and Namshin Kim
63 Trajectory disease pattern mining incorporating with Exome-seq analysis for preterm biomarker detection Tun-Wen Pai
64 1,000x Faster than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators Lars Wienbrandt, Jan Christian Kässens, Matthias Hübenthal and David Ellinghaus
66 Exploration of natural variability of gene expression Ani Sakhlyan, Anna Hakobyan and Arsen Arakelyan
67 JASS: visualising the results of a joint analysis in the context of GWAS Pierre Lechat, Hanna Julienne, Vincent Laville, Vincent Guillemot, Herve Menager and Hugues Aschard
68 MentaLiST - MLST caller for large schemes with novel allele detection Pedro Feijao, Cedric Chauve, William Hsiao and Leonid Chindelevitch
69 Genome wide prediction of monoallelic gene expression from human epigenetic data Sivarajan Karunanithi and Marcel Schulz
70 Novel strategy to map GWAS functional variants using sequencing in high-risk cases identifies putative risk-variants in myeloma Rosalie Waller, Karen Curtin, Djordje Antanackovic, Douglas Sborov, Steven Lipkin and Nicola Camp
71 Allelic imbalances and expression variability in GTEx Consortium data and gut organoids Svetlana Vinogradova, Saumya Gupta, Sébastien Vigneau and Alexander Gimelbrant
72 From mutations to function: a pipeline to assess variation in the non-coding space Parisa Mazrooei, Paul Guilhamon, Tahmid Mehdi, Swneke Bailey and Mathieu Lupien
73 Investigating cancer risk germline mutations using eQTL networks Maud Fagny, John Platig, Marieke Kuijjer and John Quackenbush
74 Pan-genome annotation transfer Jakub Tyrek, Paulina Dziadkiewicz and Norbert Dojer
75 Towards an Accurate and Efficient Heuristic for Species/Gene Tree Co-estimation Yaxuan Wang and Luay Nakhleh
76 Powerful pathway enrichment and network analysis of GWAS summary data using GSA-SNP2 Sora Yoon, Nguyen Hai and Dougu Nam
77 Integrated analysis of open accessible RNA expression data for Esophageal Squamous Cell Carcinoma Si Zheng, Hongyu Kang and Jiao Li
78 Using Gene Expression to Predict Tumor Location in Prostate Cancer Tissue Osama Hamzeh, Abed Alkhateeb and Luis Rueda
79 Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders Ariel Feiglin, Bryce K. Allen, Isaac S. Kohane and Sek Won Kong
80 Exploring genotype-phenotype associations to prioritize genetic variants implicated in digenic diseases Imane Boudellioua, Maxat Kulmanov, Paul N Schofield, Georgios V Gkoutos and Robert Hoehndorf
81 Drug repositioning for natural products using machine learning approaches Eunyoung Kim, A-Sol Choi and Hojung Nam
82 Stepwise Elastic Net Regression with group penalties in anti-cancer drug response prediction with multiple genomic data Nan Li, Roman Schefzik, Bernd Fischer and Ângela Gonçalves
83 A systems biology approach to study interactions between interleukin 18 and different types of macrophages. Kaja Chmielewska, Dorota Formanowicz and Piotr Formanowicz
84 Predication of chemotherapeutic response in bladder cancer Chia-Chen Tsai and Tzu-Hao Chang
85 Inference of Allele and Clone-specific Copy-Number Aberrations in Tumor Samples Simone Zaccaria and Benjamin Raphael
86 Discovering Sensitizers to Overcome Cancer Drug Resistance Mijin Kwon and Doheon Lee
87 Modeling drug efficacy in cancer Krzysztof Koras, Anna Gambin, Dilafruz Juraeva, Johanna Mazur, Błażej Miasojedow, Eike Staub and Ewa Szczurek
88 Cancer subtype discovery using multiple kernel learning based on clusters of features Nora K. Speicher and Nico Pfeifer
89 Predictive modeling and optimization of drug combinations Katarzyna Jabłonowska, Dilafruz Juraeva, Johanna Mazur, Eike Staub and Ewa Szczurek
90 Integrative analysis of heterochromatin changes during ageing and carcinogenesis Vincent Piras, Mélanie Miranda, Marine Beinat, Mélody Matelot, Mickael Bourge, Romain Le Bars and Daan Noordermeer
91 Predicting Cancer Genes with Graph Convolutional Networks Roman Schulte-Sasse and Annalisa Marsico
92 Panomics: Bayesian hierarchical context-dependent across-clustering for multi-omics pan-cancer data Magdalena Strauss, John Reid and Lorenz Wernisch
93 Early Detection of Preeclampsia Using Circulating Small non-coding RNA Liron Yoffe, Avital Gilam, Orly Yaron, Avital Polsky, Luba Farberov, Argyro Syngelaki, Kypros Nicolaides, Moshe Hod and Noam Shomron
94 Tumor Phylogeny Reconstruction for Structural Variants Camir Ricketts, Daniel Seidman, Victoria Popic, Fereydoun Hormozdiari, Serafim Batzoglou and Iman Hajirasouliha
95 Loss-function learning for digital tissue deconvolution Franziska Görtler
96 Efficient Algorithms to Discover Alterations with Complementary Functional Association in Cancer Rebecca Sarto Basso, Fabio Vandin and Dorit Hochbaum
97 Onctopus: Lineage-Based Subclonal Reconstruction Linda K. Sundermann, Daniel Doerr, Amit G. Deshwar, Jeff Wintersinger, Jens Stoye, Quaid Morris and Gunnar Rätsch
98 Modeling the Effect of p16 on Two Types of Senescence Caroline Obermeier, Herbert Sizek and Erzsebet Regan
99 Subpoplar: reconstructing cancer phylogenies by ordering mutation pairs Jeff Wintersinger and Quaid Morris
100 Methods for detecting contribution of mutational signatures in cancer genomes Damian Wójtowicz, Xiaoqing Huang, Yoo-Ah Kim and Teresa M. Przytycka
101 Inferring Parsimonious Migration Histories for Metastatic Cancers Mohammed El-Kebir, Gryte Satas and Ben Raphael
102 Finding Consensus Phylogenetic Trees for Tumor Evolution Kiya Govek, Camden Sikes and Layla Oesper
103 Frequent Subgraph Mining of Dysregulated Pathways Predict Effective Cancer Therapeutics Gurkan Bebek and Arda Durmaz
104 Integrated bioinformatics analyses of whole genome sequencing of major goat breeds by interpreting phylogenomics and selective sweep signals Jae-Yoon Kim, Seongmun Jeong, Kyoung Hyoun Kim and Namshin Kim
105 Fast Algorithms for the Cluster Containment Problem Andreas Dwi Maryanto Gunawan, Bingxin Lu and Louxin Zhang
106 Keep your bacterial proteome comparisons Insyght Thomas Lacroix, Valentin Loux, Jonathan Lorenzo, Bryan Brancotte, Christophe Blanchet and Jean-François Gibrat
107 A Fast Adaptive Algorithm for Computing Whole-Genome Homology Maps Chirag Jain, Sergey Koren, Alexander Dilthey, Adam Phillippy and Srinivas Aluru
108 Computational assessment of pathogenic non-coding genetic variants in the study of Mendelian diseases through an integrative supervised-learning approach Barthelemy Caron, Yufei Luo and Antonio Rausell
109 Ontology-based validation and identification of regulatory phenotypes Maxat Kulmanov, Paul N Schofield, Georgios V Gkoutos and Robert Hoehndorf
110 mirLibSpark: a scalable NGS microRNA prediction pipeline with data aggregation Chao-Jung Wu, Mohamed Amine Remita and Abdoulaye Baniré Diallo
111 Structural Patterns in Plant MicroRNA Recognition Joanna Miskiewicz and Marta Szachniuk
112 LCS-TA to assess similarity in RNA 3D structures Jakub Wiedemann, Tomasz Zok, Maciej Milostan and Marta Szachniuk
113 Using Deep Learning for prediction of protein abundance from RNA concentrations and Gene Ontology annotations Mitra Barzine, Alvis Brazma, Edgars Celms, Kārlis Čerāns, Jyoti Choudhary, Nuno Fonseca, Karlis Freivalds, Fatemeh Ghavidel, Andrew Jarnuczak, Lelde Lace, Darta Rituma and Juris Viksna
114 A Deep Learning Approach for Predicting Protein-RNA Binding Ilan Ben-Bassat, Benny Chor and Yaron Orenstein
115 Detecting Circular RNA from High-throughput Sequence Data with De Bruijn Graph Xin Li and Yufeng Wu
116 Augmented Geometry Representation enables Distinction of near native PPIs from decoys Mark Rozanov and Haim Wolfson
117 Inhibition of E-cadherin protein in human epithelial cells Hassan Hamed H Kaabi and Christopher Ward
118 A full description of the conformational landscape of cyclized peptides using a robotics approach Maud Jusot, Jaysen Sawmynaden, Guillaume Postic, Marc Vaisset, Eric Ngo, Matthias Lerbinger, Théo Torcq, Dirk Stratmann, Jacques Chomilier and Juan Cortés
119 Design of cyclic peptide inhibitors of Caspase 3 Jaysen Sawmynaden, Maud Jusot, Chahrazade El Amri, Damien Laage, Fabio Pietrucci, Dirk Stratmann and Jacques Chomilier
120 Design of stable cyclic pentapeptides for the inhibition of caspase-2 Guillaume Postic, Maxime Louet, Damien Laage, Fabio Pietrucci, Chahrazade El Amri, Jacques Chomilier and Dirk Stratmann
121 Improving the loop prediction and drug binding in GPCR structure models Bhumika Arora, K.V. Venkatesh, Denise Wootten and Patrick Sexton
122 Pattern of codon usage for chemotaxis related protein genes in E.coli and T.maritima Serika Taga, Nobuyuki Uchikoga and Takanori Sasaki
123 Predicting anticancer peptides using machine learning algorithms Huei-Fang Lee and Chia-Yu Su
124 Non-negative Matrix Factorization for Mass Spectrometry-Based Protein Identification Pasrawin Taechawattananant, Akiyasu C. Yoshizawa, Kazuyoshi Yoshii and Yasushi Ishihama
125 Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampus Senggyun Han, Jason Miller, Seyoun Byun, Dokyoon Kim, Shannon Risacher, Andrew Saykin, Younghee Lee and Kwangsik Nho
126 Identification of subgroups of patients with identical molecular characteristics by diffusing molecular profiles through a protein-protein interaction network Isabel Brito and Philippe Hupé
127 Integration Analysis for Immune System Inflection with Intermittent Fasting Soo Young Cho, Jong Kyu Woo, Soojun Park, Je Kyung Seong and Young Seek Lee
128 A Novel Cell-Penetrating Peptide Modified Drug Targets Tumor Micorenvironment and Facilitates Therapeutic Internalization Margaret Dah-Tsyr Chang and Tun-Wen Pai
129 Incorporating prior knowledge into Mixed Graphical Model estimation Helena Zacharias, Karoline Lukaschek, Hamimatunnisa Johar, Michael Altenbuchinger, Gabi Kastenmüller, Kora Study Investigators, Karl-Heinz Ladwig and Jan Krumsiek
130 Horizontal gene transfer can facilitate the formation of stable and diverse microbial communities: an in silico, agent-based model János Juhász, Attila Jády and Balázs Ligeti
131 Bagging procedure of the mutual rank index enhances effectiveness of gene coexpression information. Takeshi Obayashi, Yuichi Aoki and Kengo Kinoshita
132 Structural and evolutionary analysis of barnyard grass chloroplast genome Ung-Han Yoon, Gang-Seob Lee, Tae-Ho Kim, Sung-Won Yoon and Keunpyo Lee
133 A hybrid combinatorial method for docking single stranded RNAs on proteins at the thermodynamic equilibrium Chinmay Singhal, Yann Ponty and Isaure Chauvot de Beauchene
134 A non-procedural approach to predicting the 3D yeast genome from Hi-C data Kimberly MacKay, Mats Carlsson, Christopher Eskiw and Anthony Kusalik
135 Pan-genome structural analysis and visualisation Paulina Dziadkiewicz, Jakub Tyrek and Norbert Dojer
136 Owning less is better than organizing more: investigation of multiple template modelling protocol of variable domains of Camelid antibodies Akhila Melarkode Vattekatte, Frédéric Cadet and Alexandre G . de Brevern
137 Deciphering the effects of proximity ligation in chromatin contact maps to understand single molecule interactions data Minji Kim, Meizhen Zheng, Simon Zhongyuan Tian, Byoungkoo Lee, Daniel Capurso, Jeffrey Chuang and Yijun Ruan
138 GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison Fazle Faisal, Khalique Newaz, Julie Chaney, Jun Li, Scott Emrich, Patricia Clark and Tijana Milenkovic
139 Studying the correlation between arsenicals and bladder, kidney and prostate cancer : a network analysis approach. Andrea Polo, Giuseppina De Petro, Alfredo Budillon and Susan Costantini
140 Item Response Theory applied to Protein-Protein Interaction Networks reveals new structure and biological information Adrià Alcalá, Irene García and Mercè Llabrés
141 PINAWeb: A Web based tool to perform Protein Interaction Networks Alignments Ricardo Alberich, Adrià Alcalá, Mercè Llabrés and Gabriel Riera
142 Promoter and enhancer chromatin dynamics during pancreatic differentiation Henriette Miko, Scott A. Lacadie and Uwe Ohler
143 Constructing Gene Regulatory Networks with Epigenetic data using Message-Passing Abhijeet Sonawane and Kimberly Glass
144 cRegulome: An R package for accessing microRNA/transcription factor-gene expression correlations in cancer Mahmoud Ahmed and Deok Ryong Kim
145 Feedback from Cell Cycle Regulators to Plurioptency Factors May Explain the Inefficiency of Yamanaka Reprogramming Campbell Elliott, Micah Auerbach and Erzsebet Regan
146 A Boolean Model of Neuronal Death Upon Cell Cycle Re-Entry Emma Schroeter and Erzsébet Ravasz Regan
147 Custom Definition and Visual Exploration of Metabolic Networks T. Cameron Waller, Jared Rutter and Alexander Lex
148 Soft Vertex Classification for Active Module Problem Nikita Alexeev, Javlon Isomurodov and Alexey Sergushichev
149 MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data Nadir Sella, Louis Verny, Guido Uguzzoni, Vincent Cabeli and Hervé Isambert