Skip to main content
Springer Nature Link
Log in

Research in Computational Molecular Biology

24th Annual International Conference, RECOMB 2020, Padua, Italy, May 10–13, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Russell Schwartz

    1. Carnegie Mellon University, Pittsburgh, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12074)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: RECOMB 2020.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes the proceedings of the 24th Annual Conference on Research in Computational Molecular Biology, RECOMB 2020, held in Padua, Italy, in May 2020. The 13 regular and 24 short papers presented were carefully reviewed and selected from 206 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.

Similar content being viewed by others

Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Extended Abstracts

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Computing the Rearrangement Distance of Natural Genomes

      • Leonard Bohnenkämper, Marília D. V. Braga, Daniel Doerr, Jens Stoye
      Pages 3-18

    3. Deep Large-Scale Multi-task Learning Network for Gene Expression Inference

      • Kamran Ghasedi Dizaji, Wei Chen, Heng Huang
      Pages 19-36

    4. A Randomized Parallel Algorithm for Efficiently Finding Near-Optimal Universal Hitting Sets

      • Barış Ekim, Bonnie Berger, Yaron Orenstein
      Pages 37-53

    5. Multiple Competition-Based FDR Control and Its Application to Peptide Detection

      • Kristen Emery, Syamand Hasam, William Stafford Noble, Uri Keich
      Pages 54-71

    6. Supervised Adversarial Alignment of Single-Cell RNA-seq Data

      • Songwei Ge, Haohan Wang, Amir Alavi, Eric Xing, Ziv Bar-Joseph
      Pages 72-87

    7. Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction

      • Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
      Pages 88-103

    8. AStarix: Fast and Optimal Sequence-to-Graph Alignment

      • Pesho Ivanov, Benjamin Bichsel, Harun Mustafa, André Kahles, Gunnar Rätsch, Martin Vechev
      Pages 104-119Open Access

    9. Polynomial-Time Statistical Estimation of Species Trees Under Gene Duplication and Loss

      • Brandon Legried, Erin K. Molloy, Tandy Warnow, Sébastien Roch
      Pages 120-135

    10. RoboCOP: Multivariate State Space Model Integrating Epigenomic Accessibility Data to Elucidate Genome-Wide Chromatin Occupancy

      • Sneha Mitra, Jianling Zhong, David M. MacAlpine, Alexander J. Hartemink
      Pages 136-151

    11. Representation of \(k\)-mer Sets Using Spectrum-Preserving String Sets

      • Amatur Rahman, Paul Medvedev
      Pages 152-168

    12. NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks

      • Matthew A. Reyna, Uthsav Chitra, Rebecca Elyanow, Benjamin J. Raphael
      Pages 169-185

    13. Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification

      • Roman Sarrazin-Gendron, Hua-Ting Yao, Vladimir Reinharz, Carlos G. Oliver, Yann Ponty, Jérôme Waldispühl
      Pages 186-201

    14. Lower Density Selection Schemes via Small Universal Hitting Sets with Short Remaining Path Length

      • Hongyu Zheng, Carl Kingsford, Guillaume Marçais
      Pages 202-217

  3. Short Papers

    1. Front Matter

      Pages 219-219
      Download chapter PDF

    2. Strain-Aware Assembly of Genomes from Mixed Samples Using Flow Variation Graphs

      • Jasmijn A. Baaijens, Leen Stougie, Alexander Schönhuth
      Pages 221-222

    3. Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments

      • Tavor Z. Baharav, Govinda M. Kamath, David N. Tse, Ilan Shomorony
      Pages 223-225

    4. MosaicFlye: Resolving Long Mosaic Repeats Using Long Reads

      • Anton Bankevich, Pavel Pevzner
      Pages 226-228

    5. Bayesian Non-parametric Clustering of Single-Cell Mutation Profiles

      • Nico Borgsmüller, Jose Bonet, Francesco Marass, Abel Gonzalez-Perez, Nuria Lopez-Bigas, Niko Beerenwinkel
      Pages 229-230
Back to top

Other volumes

  1. Research in Computational Molecular Biology

Editors and Affiliations

  • Carnegie Mellon University, Pittsburgh, USA

    Russell Schwartz

Bibliographic Information

Publish with us

Policies and ethics

Back to top
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy