1ARKS: chromosome-scale human genome scaffolding with linked read kmersRené Warren, Lauren Coombe, Jessica Zhang, Benjamin Vandervalk, Justin Chu, Shaun Jackman and Inanc Birol
2gNOME-Report: an interactive open source platform for prioritizing phenotype-associated and actionable genetic variantsIn-Hee Lee, Jose A. Negron and Sek Won Kong
3Improving pairwise comparison of protein sequences with domain co-occurrenceChristophe Menichelli, Olivier Gascuel and Laurent Bréhélin
4Extracting Information from Inaccurate Sequencing DataGleb Goussarov, Ilse Cleenwerck, Mohamed Mysara, Natalie Leys, Peter Vandamme and Pieter Monsieurs
5Fine-grained k-mer Feature Modification for Alignement-free NGS Sequence CompsrisonPhanucheep Chotnithi and Atsuhiro Takasu
6pysster: Classification Of Biological Sequences By Learning Sequence And Structure Motifs With Convolutional Neural NetworksStefan Budach and Annalisa Marsico
7Aindex: a perfect hash sequence index for the fast bioinformatics tools prototypingAleksey Komissarov
8Chromosomer 2: reference-based scaffold arranging toolGaik Tamazian and Aleksey Komissarov
9Construction of optimal minimizers schemesGuillaume Marcais, Dan Deblasio and Carl Kingsford
10Multi-Index Bloom Filters: A probabilistic data structure for sensitive multi-reference sequence classification with multiple spaced seedsJustin Chu, Emre Erhan, Hamid Mohamadi, Ben Vandervalk, Jeffrey Tse, Sarah Yeo, Shaun Jackman, Ka Ming Nip, Rene Warren and Inanc Birol
11Bioinformatics workflow system for massive sequencing data analysisGunhwan Ko, Pan-Gyu Kim and Byungwook Lee
12Prediction of complete Hi-C contact maps from genomic sequence aloneChristopher J.F. Cameron, Josée Dostie and Mathieu Blanchette
13Construction of individual recombination maps using linked-read sequencing dataAndreea Dreau, Felicity Jones, Vrinda Venu and Ludmila Gaspar
14Novel-X: novel sequence insertions detection using linked-readsDmitrii Meleshko and Iman Hajirasouliha
15Ripo_pipe: A ribosome profiling pipeline optimized for data analysis in metabolismJordan Berg and Jared Rutter
16HapCHAT: Adaptive haplotype assembly for efficiently leveraging high coverage in long readsStefano Beretta, Murray Patterson, Tobias Marschall, Marcel Martin, Simone Zaccaria, Gianluca Della Vedova and Paola Bonizzoni
17Fast and accurate bisulfite alignment and methylation calling for mammalian genomesJonas Fischer and Marcel Schulz
18Refscope: A reference sequence, prior-knowledge system used to assess 10X Genomic Chromium System efficiency in neutralizing repeat noiseClaire Jubin, Aurélie Leduc, Florian Sandron, Céline Baulard, Aurélie Perin, Marc Delépine, Anne Boland, Vincent Meyer, Robert Olaso and Jean-François Deleuze
19A framework for cost-constrained genome rearrangement under Double Cut and JoinPijus Simonaitis and Krister Swenson
20Minerva: An Alignment and Reference Free Approach to Deconvolve Linked-Reads for MetagenomicsDavid Danko, Dmitrrii Meleshko, Daniela Bezdan, Chris Mason and Iman Hajirasouliha
21Tigmint: Correct Assembly Errors Using Linked Reads From Large MoleculesShaun Jackman, Lauren Coombe, Justin Chu, Rene Warren, Ben Vandervalk, Sarah Yeo, Zhuyi Xue, Hamid Mohamadi, Joerg Bohlmann, Steven Jones and Inanc Birol
22Nanopore Sequencing Technology and Tools for Genome Assembly: Computational Analysis of the Current State, Bottlenecks, and Future DirectionsDamla Senol Cali, Jeremie Kim, Saugata Ghose, Can Alkan and Onur Mutlu
23Crow: Fast and accurate expression estimation from long readsLaraib Malik, Avi Srivastava and Rob Patro
24Haplotype Assembly in Single-Cell DNA Sequencing DataGryte Satas and Benjamin Raphael
25OMICtools: Facilitate bioinformatics analyses by combining artificial and collective intelligenceEmeric Dynomant, Clément Levin, Emeline Duquenne, Ulrich Moutoussamy, Elhadji Thioune, Cyrille Petit, Sébastien Faye, Nicolas Levacher, Fabien Pichon, Marion Denorme and Arnaud Desfeux
26Investigating the methylation associated with negative gene regulation through RNA-seq and RRBS across 20 tissuesWon-Jun Lim, Kyoung Hyoun Kim and Namshin Kim
27Identification of Transcription Factor Binding Sites using ATAC-seqZhijian Li, Marcel Schulz, Martin Zenke and Ivan Costa
28Coupled RNA 5-methylcytosine and alternative splicing as revealed by quantitative analysis of RNA-BisSeq data at alternative isoform levelJunfeng Liu and Zhihua Zhang
29The 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 analysisQi Ma
30Alkaloid Biosynthesis-Related Transcriptome and Metabolome Profiling in Poppy PlantsJae Hyeon Oh, Dowan Kim, Min-Seok Jung, Chang Kug Kim and Tae Ho Lee
31ChIP-seq simulations reveal key sources of variations and suggest experimental designVishaka Datta and Sridhar Hannenhalli
32Identification of transcriptional signatures for cell types from single-cell RNA-SeqLynn Yi, Vasilis Ntranos, Pall Melsted and Lior Pachter
33Identification of tissue-specific aging-related epigenetic marker using age prediction modelHeeyeon Choi and Hojung Nam
34Construction of Gene Regulatory Networks with Secondary Structures via Multi-task Sparse Group LassoYiming Qin, Yaohua Hu, Pak Chung Sham, Zhou Zhou, Bin Yan, Junwen Wang and Jing Qin
35Improved Normalization of Nanostring nCounter Gene Expression DataRamyar Molania, Johann A Gagnon-Bartsch, Alexander Dobrovic and Terence P Speed
36ASGAL: Aligning RNA-Seq Data to a Splicing Graph to Detect Novel Alternative Splicing EventsLuca Denti, Raffaella Rizzi, Stefano Beretta, Gianluca Della Vedova, Marco Previtali and Paola Bonizzoni
37Regulation 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
38CREAM: new feature selection approach for epigenomic profiles of cellsSeyed Ali Madani Tonekaboni, Parisa Mazrooei, Benjamin Haibe-Kains and Mathieu Lupien
39Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomesLaura Cantini, Ulykbek Kairov, Aurélien de Reyniès, Emmanuel Barillot, Francois Radvanyi and Andrei Zinovyev
40Transfer of cell type information across single-cell datasets using adversarial neural networksHui Ting Grace Yeo and David K Gifford
41Probing instructions for expression regulation in gene nucleotide compositionsChloé Bessière, May Taha, Florent Petitprez, Jimmy Vandel, Jean-Michel Marin, Laurent Bréhélin, Sophie Lèbre and Charles-Henri Lecellier
42POSTIT: Multi-task learning to infer transcript isoform regulation from epi-genomics and transcriptomics dataAzim Dehghani Amirabad and Marcel Schulz
43Integrative analysis of single cell expression data reveals distinct regulatory states in bidirectional promotersFatemeh 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
44Partially blind domain adaptation for age prediction from DNA methylation dataLisa Handl, Adrin Jalali, Michael Scherer and Nico Pfeifer
45Inferring Gene Regulatory Programs with Mixtures of Sparse Multi-Task Regression ModelsTobias Heinen, Azim Dehghani Amirabad, Florian Schmidt and Marcel Schulz
46Premature termination codon containing transcripts comprise a significant fraction of sequenced mRNAsAnna Hakobyan, Maria Nikoghosyan and Arsen Arakelyan
47In-silico read normalization using set multi-cover optimizationDilip A. Durai and Marcel H. Schulz
48Cheatsheet for comparative epigenomic studiesClaudia Chica, Alexandra Louis, Hugues Roest Crollius, Vincent Colot and François Roudier
49Transcriptome reconstruction with quality score distortion in reference-based alignmentAna Hernandez
50GRASS-C - Graph-based RNA-Seq Analysis in Single cell level Subgraph ClusteringHarry Taegyun Yang
51Profiling adaptive immune repertoires across multiple human tissues by RNA SequencingSerghei Mangul, Igor Mandric, Alex Zelikovsky and Eleazar Eskin
52GeFaST: An improved method for OTU assignment by generalising Swarm's fastidious clustering approachRobert Müller and Markus Nebel
53Search for remote homologous sequences in large metagenomics datasetsRomain Lannes, Philippe Lopez and Eric Bapteste
54Estimating the Total Genome Length of a Metagenomic Sample Using K-mersKui Hua and Xuegong Zhang
55Reference-guided genome assembly in metagenomic samplesCervin Guyomar, Wesley Delage, Fabrice Legeai, Mougel Christophe, Jean-Christophe Simon and Claire Lemaitre
56On the feasibility of mining CD8+ T cell receptor patterns underlying immunogenic peptide recognitionNicolas De Neuter, Wout Bittremieux, Charlie Beirnaert, Bart Cuypers, Aida Mrzic, Pieter Moris, Arvid Suls, Viggo Van Tendeloo, Benson Ogunjimi, Kris Laukens and Pieter Meysman
57Systematic identification of cancer-specific immunogenic peptides with RAVENJulia 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
58Unsupervised computational deconvolution of mixed signals in tumor microenvironment using blind source deconvolution approachUrszula Czerwinska, Laura Cantini, Ulykbek Kairov, Emmanuel Barillot, Vassili Soumelis and Andrei Zinovyev
59Modeling Drug Combinatorial Effects in Inflammatory Bowel DiseaseLichy Han, Mateusz Maciejewski, Daniel Ziemek and Russ Altman
60An alignment-free method for the classification of diverse and complex virus groupsDylan Lebatteux, Mohamed Amine Remita and Abdoulaye Baniré Diallo
61Model-based multiple variants test considering causal statusJong Wha Joo, Farhad Hormozdiari and Eleazar Eskin
62Evaluation of machine learning methods for genomic prediction of binary and continuous trait in plantsSeongmun Jeong, Jae-Yoon Kim, Kyoung Hyoun Kim and Namshin Kim
63Trajectory disease pattern mining incorporating with Exome-seq analysis for preterm biomarker detectionTun-Wen Pai
641,000x Faster than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU AcceleratorsLars Wienbrandt, Jan Christian Kässens, Matthias Hübenthal and David Ellinghaus
66Exploration of natural variability of gene expressionAni Sakhlyan, Anna Hakobyan and Arsen Arakelyan
67JASS: visualising the results of a joint analysis in the context of GWASPierre Lechat, Hanna Julienne, Vincent Laville, Vincent Guillemot, Herve Menager and Hugues Aschard
68MentaLiST - MLST caller for large schemes with novel allele detectionPedro Feijao, Cedric Chauve, William Hsiao and Leonid Chindelevitch
69Genome wide prediction of monoallelic gene expression from human epigenetic dataSivarajan Karunanithi and Marcel Schulz
70Novel strategy to map GWAS functional variants using sequencing in high-risk cases identifies putative risk-variants in myelomaRosalie Waller, Karen Curtin, Djordje Antanackovic, Douglas Sborov, Steven Lipkin and Nicola Camp
71Allelic imbalances and expression variability in GTEx Consortium data and gut organoidsSvetlana Vinogradova, Saumya Gupta, Sébastien Vigneau and Alexander Gimelbrant
72From mutations to function: a pipeline to assess variation in the non-coding spaceParisa Mazrooei, Paul Guilhamon, Tahmid Mehdi, Swneke Bailey and Mathieu Lupien
73Investigating cancer risk germline mutations using eQTL networksMaud Fagny, John Platig, Marieke Kuijjer and John Quackenbush
74Pan-genome annotation transferJakub Tyrek, Paulina Dziadkiewicz and Norbert Dojer
75Towards an Accurate and Efficient Heuristic for Species/Gene Tree Co-estimationYaxuan Wang and Luay Nakhleh
76Powerful pathway enrichment and network analysis of GWAS summary data using GSA-SNP2Sora Yoon, Nguyen Hai and Dougu Nam
77Integrated analysis of open accessible RNA expression data for Esophageal Squamous Cell CarcinomaSi Zheng, Hongyu Kang and Jiao Li
78Using Gene Expression to Predict Tumor Location in Prostate Cancer TissueOsama Hamzeh, Abed Alkhateeb and Luis Rueda
79Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic DisordersAriel Feiglin, Bryce K. Allen, Isaac S. Kohane and Sek Won Kong
80Exploring genotype-phenotype associations to prioritize genetic variants implicated in digenic diseasesImane Boudellioua, Maxat Kulmanov, Paul N Schofield, Georgios V Gkoutos and Robert Hoehndorf
81Drug repositioning for natural products using machine learning approachesEunyoung Kim, A-Sol Choi and Hojung Nam
82Stepwise Elastic Net Regression with group penalties in anti-cancer drug response prediction with multiple genomic dataNan Li, Roman Schefzik, Bernd Fischer and Ângela Gonçalves
83A systems biology approach to study interactions between interleukin 18 and different types of macrophages.Kaja Chmielewska, Dorota Formanowicz and Piotr Formanowicz
84Predication of chemotherapeutic response in bladder cancerChia-Chen Tsai and Tzu-Hao Chang
85Inference of Allele and Clone-specific Copy-Number Aberrations in Tumor SamplesSimone Zaccaria and Benjamin Raphael
86Discovering Sensitizers to Overcome Cancer Drug ResistanceMijin Kwon and Doheon Lee
87Modeling drug efficacy in cancerKrzysztof Koras, Anna Gambin, Dilafruz Juraeva, Johanna Mazur, Błażej Miasojedow, Eike Staub and Ewa Szczurek
88Cancer subtype discovery using multiple kernel learning based on clusters of featuresNora K. Speicher and Nico Pfeifer
89Predictive modeling and optimization of drug combinationsKatarzyna Jabłonowska, Dilafruz Juraeva, Johanna Mazur, Eike Staub and Ewa Szczurek
90Integrative analysis of heterochromatin changes during ageing and carcinogenesisVincent Piras, Mélanie Miranda, Marine Beinat, Mélody Matelot, Mickael Bourge, Romain Le Bars and Daan Noordermeer
91Predicting Cancer Genes with Graph Convolutional NetworksRoman Schulte-Sasse and Annalisa Marsico
92Panomics: Bayesian hierarchical context-dependent across-clustering for multi-omics pan-cancer dataMagdalena Strauss, John Reid and Lorenz Wernisch
93Early Detection of Preeclampsia Using Circulating Small non-coding RNALiron Yoffe, Avital Gilam, Orly Yaron, Avital Polsky, Luba Farberov, Argyro Syngelaki, Kypros Nicolaides, Moshe Hod and Noam Shomron
94Tumor Phylogeny Reconstruction for Structural VariantsCamir Ricketts, Daniel Seidman, Victoria Popic, Fereydoun Hormozdiari, Serafim Batzoglou and Iman Hajirasouliha
95Loss-function learning for digital tissue deconvolutionFranziska Görtler
96Efficient Algorithms to Discover Alterations with Complementary Functional Association in CancerRebecca Sarto Basso, Fabio Vandin and Dorit Hochbaum
97Onctopus: Lineage-Based Subclonal ReconstructionLinda K. Sundermann, Daniel Doerr, Amit G. Deshwar, Jeff Wintersinger, Jens Stoye, Quaid Morris and Gunnar Rätsch
98Modeling the Effect of p16 on Two Types of SenescenceCaroline Obermeier, Herbert Sizek and Erzsebet Regan
99Subpoplar: reconstructing cancer phylogenies by ordering mutation pairsJeff Wintersinger and Quaid Morris
100Methods for detecting contribution of mutational signatures in cancer genomesDamian Wójtowicz, Xiaoqing Huang, Yoo-Ah Kim and Teresa M. Przytycka
101Inferring Parsimonious Migration Histories for Metastatic CancersMohammed El-Kebir, Gryte Satas and Ben Raphael
102Finding Consensus Phylogenetic Trees for Tumor EvolutionKiya Govek, Camden Sikes and Layla Oesper
103Frequent Subgraph Mining of Dysregulated Pathways Predict Effective Cancer TherapeuticsGurkan Bebek and Arda Durmaz
104Integrated bioinformatics analyses of whole genome sequencing of major goat breeds by interpreting phylogenomics and selective sweep signalsJae-Yoon Kim, Seongmun Jeong, Kyoung Hyoun Kim and Namshin Kim
105Fast Algorithms for the Cluster Containment ProblemAndreas Dwi Maryanto Gunawan, Bingxin Lu and Louxin Zhang
106Keep your bacterial proteome comparisons InsyghtThomas Lacroix, Valentin Loux, Jonathan Lorenzo, Bryan Brancotte, Christophe Blanchet and Jean-François Gibrat
107A Fast Adaptive Algorithm for Computing Whole-Genome Homology MapsChirag Jain, Sergey Koren, Alexander Dilthey, Adam Phillippy and Srinivas Aluru
108Computational assessment of pathogenic non-coding genetic variants in the study of Mendelian diseases through an integrative supervised-learning approachBarthelemy Caron, Yufei Luo and Antonio Rausell
109Ontology-based validation and identification of regulatory phenotypesMaxat Kulmanov, Paul N Schofield, Georgios V Gkoutos and Robert Hoehndorf
110mirLibSpark: a scalable NGS microRNA prediction pipeline with data aggregationChao-Jung Wu, Mohamed Amine Remita and Abdoulaye Baniré Diallo
111Structural Patterns in Plant MicroRNA RecognitionJoanna Miskiewicz and Marta Szachniuk
112LCS-TA to assess similarity in RNA 3D structuresJakub Wiedemann, Tomasz Zok, Maciej Milostan and Marta Szachniuk
113Using Deep Learning for prediction of protein abundance from RNA concentrations and Gene Ontology annotationsMitra Barzine, Alvis Brazma, Edgars Celms, Kārlis Čerāns, Jyoti Choudhary, Nuno Fonseca, Karlis Freivalds, Fatemeh Ghavidel, Andrew Jarnuczak, Lelde Lace, Darta Rituma and Juris Viksna
114A Deep Learning Approach for Predicting Protein-RNA BindingIlan Ben-Bassat, Benny Chor and Yaron Orenstein
115Detecting Circular RNA from High-throughput Sequence Data with De Bruijn GraphXin Li and Yufeng Wu
116Augmented Geometry Representation enables Distinction of near native PPIs from decoysMark Rozanov and Haim Wolfson
117Inhibition of E-cadherin protein in human epithelial cellsHassan Hamed H Kaabi and Christopher Ward
118A full description of the conformational landscape of cyclized peptides using a robotics approachMaud Jusot, Jaysen Sawmynaden, Guillaume Postic, Marc Vaisset, Eric Ngo, Matthias Lerbinger, Théo Torcq, Dirk Stratmann, Jacques Chomilier and Juan Cortés
119Design of cyclic peptide inhibitors of Caspase 3Jaysen Sawmynaden, Maud Jusot, Chahrazade El Amri, Damien Laage, Fabio Pietrucci, Dirk Stratmann and Jacques Chomilier
120Design of stable cyclic pentapeptides for the inhibition of caspase-2Guillaume Postic, Maxime Louet, Damien Laage, Fabio Pietrucci, Chahrazade El Amri, Jacques Chomilier and Dirk Stratmann
121Improving the loop prediction and drug binding in GPCR structure modelsBhumika Arora, K.V. Venkatesh, Denise Wootten and Patrick Sexton
122Pattern of codon usage for chemotaxis related protein genes in E.coli and T.maritimaSerika Taga, Nobuyuki Uchikoga and Takanori Sasaki
123Predicting anticancer peptides using machine learning algorithmsHuei-Fang Lee and Chia-Yu Su
124Non-negative Matrix Factorization for Mass Spectrometry-Based Protein IdentificationPasrawin Taechawattananant, Akiyasu C. Yoshizawa, Kazuyoshi Yoshii and Yasushi Ishihama
125Identification of exon skipping events associated with Alzheimer’s disease in the human hippocampusSenggyun Han, Jason Miller, Seyoun Byun, Dokyoon Kim, Shannon Risacher, Andrew Saykin, Younghee Lee and Kwangsik Nho
126Identification of subgroups of patients with identical molecular characteristics by diffusing molecular profiles through a protein-protein interaction networkIsabel Brito and Philippe Hupé
127Integration Analysis for Immune System Inflection with Intermittent FastingSoo Young Cho, Jong Kyu Woo, Soojun Park, Je Kyung Seong and Young Seek Lee
128A Novel Cell-Penetrating Peptide Modified Drug Targets Tumor Micorenvironment and Facilitates Therapeutic InternalizationMargaret Dah-Tsyr Chang and Tun-Wen Pai
129Incorporating prior knowledge into Mixed Graphical Model estimationHelena Zacharias, Karoline Lukaschek, Hamimatunnisa Johar, Michael Altenbuchinger, Gabi Kastenmüller, Kora Study Investigators, Karl-Heinz Ladwig and Jan Krumsiek
130Horizontal gene transfer can facilitate the formation of stable and diverse microbial communities: an in silico, agent-based modelJános Juhász, Attila Jády and Balázs Ligeti
131Bagging procedure of the mutual rank index enhances effectiveness of gene coexpression information.Takeshi Obayashi, Yuichi Aoki and Kengo Kinoshita
132Structural and evolutionary analysis of barnyard grass chloroplast genomeUng-Han Yoon, Gang-Seob Lee, Tae-Ho Kim, Sung-Won Yoon and Keunpyo Lee
133A hybrid combinatorial method for docking single stranded RNAs on proteins at the thermodynamic equilibriumChinmay Singhal, Yann Ponty and Isaure Chauvot de Beauchene
134A non-procedural approach to predicting the 3D yeast genome from Hi-C dataKimberly MacKay, Mats Carlsson, Christopher Eskiw and Anthony Kusalik
135Pan-genome structural analysis and visualisationPaulina Dziadkiewicz, Jakub Tyrek and Norbert Dojer
136Owning less is better than organizing more: investigation of multiple template modelling protocol of variable domains of Camelid antibodiesAkhila Melarkode Vattekatte, Frédéric Cadet and Alexandre G . de Brevern
137Deciphering the effects of proximity ligation in chromatin contact maps to understand single molecule interactions dataMinji Kim, Meizhen Zheng, Simon Zhongyuan Tian, Byoungkoo Lee, Daniel Capurso, Jeffrey Chuang and Yijun Ruan
138GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparisonFazle Faisal, Khalique Newaz, Julie Chaney, Jun Li, Scott Emrich, Patricia Clark and Tijana Milenkovic
139Studying the correlation between arsenicals and bladder, kidney and prostate cancer : a network analysis approach.Andrea Polo, Giuseppina De Petro, Alfredo Budillon and Susan Costantini
140Item Response Theory applied to Protein-Protein Interaction Networks reveals new structure and biological informationAdrià Alcalá, Irene García and Mercè Llabrés
141PINAWeb: A Web based tool to perform Protein Interaction Networks AlignmentsRicardo Alberich, Adrià Alcalá, Mercè Llabrés and Gabriel Riera
142Promoter and enhancer chromatin dynamics during pancreatic differentiationHenriette Miko, Scott A. Lacadie and Uwe Ohler
143Constructing Gene Regulatory Networks with Epigenetic data using Message-PassingAbhijeet Sonawane and Kimberly Glass
144cRegulome: An R package for accessing microRNA/transcription factor-gene expression correlations in cancerMahmoud Ahmed and Deok Ryong Kim
145Feedback from Cell Cycle Regulators to Plurioptency Factors May Explain the Inefficiency of Yamanaka ReprogrammingCampbell Elliott, Micah Auerbach and Erzsebet Regan
146A Boolean Model of Neuronal Death Upon Cell Cycle Re-EntryEmma Schroeter and Erzsébet Ravasz Regan
147Custom Definition and Visual Exploration of Metabolic NetworksT. Cameron Waller, Jared Rutter and Alexander Lex
148Soft Vertex Classification for Active Module ProblemNikita Alexeev, Javlon Isomurodov and Alexey Sergushichev
149MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative dataNadir Sella, Louis Verny, Guido Uguzzoni, Vincent Cabeli and Hervé Isambert