Computational platforms and environments

  • Article
    | Open Access

    The authors present flDPnn, a computational tool for disorder and disorder function predictions from protein sequences. flDPnn was assessed with the data from the “Critical Assessment of Protein Intrinsic Disorder Prediction” experiment and on an independent and low-similarity test dataset, which show that flDPnn offers accurate predictions of disorder, fully disordered proteins and four common disorder functions.

    • Gang Hu
    • , Akila Katuwawala
    •  & Lukasz Kurgan
  • Article
    | Open Access

    Deep learning algorithms trained on data streamed temporally from different clinical sites and from a multitude of physiological sensors are generally affected by a degradation in performance. To mitigate this, the authors propose a continual learning strategy that employs a replay buffer.

    • Dani Kiyasseh
    • , Tingting Zhu
    •  & David Clifton
  • Article
    | Open Access

    Whole genome sequencing data are increasingly becoming routinely available but generating actionable insights is challenging. Here, the authors describe Pathogenwatch, a web tool for genomic surveillance of S. Typhi, and demonstrate its use for antimicrobial resistance assignment and strain risk assessment.

    • Silvia Argimón
    • , Corin A. Yeats
    •  & David M. Aanensen
  • Article
    | Open Access

    Data-rich networks can be difficult to interpret beyond a certain size. Here, the authors introduce a platform that uses virtual reality to allow the visual exploration of large networks, while interfacing with data repositories and other analytical methods to improve the interpretation of big data.

    • Sebastian Pirch
    • , Felix Müller
    •  & Jörg Menche
  • Article
    | Open Access

    The Danish health system has been collecting health-related data on the entire Danish population for years. Here the authors present the Danish Disease Trajectory Browser (DTB), which allows users to explore population-wide disease progression patterns from data collected between 1994 and 2018.

    • Troels Siggaard
    • , Roc Reguant
    •  & Søren Brunak
  • Article
    | Open Access

    The computational prediction of protein allostery can guide experimental studies of protein function and cellular activity. Here, the authors develop a network-based method to detect allosteric coupling within proteins solely based on their structures, and set up a webserver for allostery prediction.

    • Jian Wang
    • , Abha Jain
    •  & Nikolay V. Dokholyan
  • Article
    | Open Access

    Deep learning is becoming a popular approach for understanding biological processes but can be hard to adapt to new questions. Here, the authors develop Janggu, a python library that aims to ease data acquisition and model evaluation and facilitate deep learning applications in genomics.

    • Wolfgang Kopp
    • , Remo Monti
    •  & Altuna Akalin
  • Article
    | Open Access

    Taxonomy classification of amplicon sequences is an important step in investigating microbial communities in microbiome analysis. Here, the authors show incorporating environment-specific taxonomic abundance information can lead to improved species-level classification accuracy across common sample types.

    • Benjamin D. Kaehler
    • , Nicholas A. Bokulich
    •  & Gavin A. Huttley
  • Article
    | Open Access

    The Scalable Precision Medicine Oriented Knowledge Engine (SPOKE) is a heterogeneous knowledge network that integrates information from 29 public databases. Here, Nelson et al. extend SPOKE to embed clinical data from electronic health records to create medically meaningful barcodes for each medical variable.

    • Charlotte A. Nelson
    • , Atul J. Butte
    •  & Sergio E. Baranzini
  • Article
    | Open Access

    Most morphological visualization platforms are not designed to share research data, or are limited to data visualization. Here the authors present MorphoNet, an open-source, web-based tool for interactive visualization and sharing of complex morphodynamic datasets, onto which users can project their own data.

    • Bruno Leggio
    • , Julien Laussu
    •  & Emmanuel Faure
  • Article
    | Open Access

    Adaptive immunity from both B and T cells critically controls the rejection or survival of transplanted organs. Here the authors show, by analyzing human B cell receptor repertoire in longitudinal studies of patients receiving kidney transplants, that repertoire diversity is positively associated with the incidence of kidney rejection.

    • Silvia Pineda
    • , Tara K. Sigdel
    •  & Minnie M. Sarwal
  • Article
    | Open Access

    Imputation can effectively augment marker density in existing genetic datasets and enable integration across germplasm resources. Here Wang et al. present a public imputation server for rice using a diverse reference panel to facilitate imputation in the rice genetics community.

    • Diane R. Wang
    • , Francisco J. Agosto-Pérez
    •  & Susan R. McCouch
  • Article
    | Open Access

    Availability of computing power can limit computational analysis of large genetic and genomic datasets. Here, Canela-Xandri, et al. describe a software called DISSECT that is capable of analyzing large-scale genetic data by distributing the work across thousands of networked computers.

    • Oriol Canela-Xandri
    • , Andy Law
    •  & Albert Tenesa