Evidence map›Paper›PMID 30811390›Full record

ArticlePLoS computational biology2019

Script of Scripts: A pragmatic workflow system for daily computational research.

Gao Wang, Bo Peng

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gao WangDepartment of Human Genetics, The University of Chicago, Chicago, IL, United States of America.ORCID 0000-0001-9336-402X
Bo PengDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.ORCID 0000-0001-8225-2284

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)U24CA143883 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2009 to 2016
$10.6M
Statistical Methods for Population Genomics and "Next-gen" Sequencing DataR01HG005859 · NHGRI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SCHEET, PAUL A · 2011 to 2015
$1.9M
Computational tools for sequence-based large-scale epidemiology studiesR01HG008972 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LEAL, SUZANNE M, PENG, BO · 2016 to 2019
$1.6M
NCI NIH HHS P30 CA016672NCI NIH HHS U24 CA143883NHGRI NIH HHS R01 HG005859NHGRI NIH HHS R01 HG008972
6 · The paper itself

Abstract

Computationally intensive disciplines such as computational biology often require use of a variety of tools implemented in different scripting languages and analysis of large data sets using high-performance computing systems. Although scientific workflow systems can powerfully organize and execute large-scale data-analysis processes, creating and maintaining such workflows usually comes with nontrivial learning curves and engineering overhead, making them cumbersome to use for everyday data exploration and prototyping. To bridge the gap between interactive analysis and workflow systems, we developed Script of Scripts (SoS), an interactive data-analysis platform and workflow system with a strong emphasis on readability, practicality, and reproducibility in daily computational research. For exploratory analysis, SoS has a multilanguage scripting format that centralizes otherwise-scattered scripts and creates dynamic reports for publication and sharing. As a workflow engine, SoS provides an intuitive syntax for creating workflows in process-oriented, outcome-oriented, and mixed styles, as well as a unified interface for executing and managing tasks on a variety of computing platforms with automatic synchronization of files among isolated file systems. As illustrated herein by real-world examples, SoS is both an interactive analysis tool and pipeline platform suitable for different stages of method development and data-analysis projects. In particular, SoS can be easily adopted in existing data analysis routines to substantially improve organization, readability, and cross-platform computation management of research projects.

Indexed as

WorkflowComputational BiologyComputing MethodologiesReproducibility of ResultsResearchSoftwareUser-Computer Interface

Identifiers

PMID30811390
PMCPMC6411228

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.