Proceedings of the Critical Assessment of Massive Data Analysis (CAMDA) Satellite Meeting to ISMB 2017

In this topical collection (13 articles)

1. Research

   Assessment of urban microbiome assemblies with the help of targeted in silico gold standards

   Samuel M. Gerner, Thomas Rattei, Alexandra B. Graf Article:22

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2. Research

   Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival

   Aneta Polewko-Klim, Wojciech Lesiński, Krzysztof Mnich, Radosław Piliszek… Article:17

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3. Research

   Models of cell signaling uncover molecular mechanisms of high-risk neuroblastoma and predict disease outcome

   Marta R. Hidalgo, Alicia Amadoz, Cankut Çubuk, José Carbonell-Caballero… Article:16

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4. Research

   MetaBinG2: a fast and accurate metagenomic sequence classification system for samples with many unknown organisms

   Yuyang Qiao, Ben Jia, Zhiqiang Hu, Chen Sun, Yijin Xiang, Chaochun Wei Article:15

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5. Research

   Accumulation of potential driver genes with genomic alterations predicts survival of high-risk neuroblastoma patients

   Chen Suo, Wenjiang Deng, Trung Nghia Vu, Mingrui Li, Leming Shi… Article:14

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6. Research

   Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

   Léon-Charles Tranchevent, Petr V. Nazarov, Tony Kaoma… Article:12

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7. Research

   Predicting survival times for neuroblastoma patients using RNA-seq expression profiles

   Tyler Grimes, Alejandro R. Walker, Susmita Datta, Somnath Datta Article:11

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8. Research

   Unraveling bacterial fingerprints of city subways from microbiome 16S gene profiles

   Alejandro R. Walker, Tyler L. Grimes, Somnath Datta, Susmita Datta Article:10

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9. Research

   Profiling microbial strains in urban environments using metagenomic sequencing data

   Moreno Zolfo, Francesco Asnicar, Paolo Manghi, Edoardo Pasolli… Article:9

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10. Research

    MEGAN-LR: new algorithms allow accurate binning and easy interactive exploration of metagenomic long reads and contigs

    Daniel H. Huson, Benjamin Albrecht, Caner Bağcı, Irina Bessarab… Article:6

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11. Research

    Multi-omics integration for neuroblastoma clinical endpoint prediction

    Margherita Francescatto, Marco Chierici, Setareh Rezvan Dezfooli… Article:5

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12. Research

    Integrative analysis based on survival associated co-expression gene modules for predicting Neuroblastoma patients’ survival time

    Yatong Han, Xiufen Ye, Jun Cheng, Siyuan Zhang, Weixing Feng, Zhi Han… Article:4

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13. Research

    Genes sharing the protein family domain decrease the performance of classification with RNA-seq genomic signatures

    Anna Leśniewska, Joanna Zyprych-Walczak, Alicja Szabelska-Beręsewicz… Article:3

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