Evidence map›Paper›PMID 32170312›Full record

ArticleGigaScience2020

*-DCC: A platform to collect, annotate, and explore a large variety of sequencing experiments.

Matthias Hörtenhuber, Abdul K Mukarram, Marcus H Stoiber, James B Brown, Carsten O Daub

Abstract read
In one paragraph

Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Matthias HörtenhuberDepartment of Biosciences and Nutrition, Karolinska Institutet, NEO, Huddinge SE-141 83, Sweden.
Abdul K MukarramDepartment of Biosciences and Nutrition, Karolinska Institutet, NEO, Huddinge SE-141 83, Sweden.
Marcus H StoiberDepartment of Statistics, University of California Berkeley, 367 Evans Hall,, Berkeley, CA 94720, USA.
James B BrownDepartment of Statistics, University of California Berkeley, 367 Evans Hall,, Berkeley, CA 94720, USA.
Carsten O DaubDepartment of Biosciences and Nutrition, Karolinska Institutet, NEO, Huddinge SE-141 83, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past few years the variety of experimental designs and protocols for sequencing experiments increased greatly. To ensure the wide usability of the produced data beyond an individual project, rich and systematic annotation of the underlying experiments is crucial.

findingsWe first developed an annotation structure that captures the overall experimental design as well as the relevant details of the steps from the biological sample to the library preparation, the sequencing procedure, and the sequencing and processed files. Through various design features, such as controlled vocabularies and different field requirements, we ensured a high annotation quality, comparability, and ease of annotation. The structure can be easily adapted to a large variety of species. We then implemented the annotation strategy in a user-hosted web platform with data import, query, and export functionality.

conclusionsWe present here an annotation structure and user-hosted platform for sequencing experiment data, suitable for lab-internal documentation, collaborations, and large-scale annotation efforts.

Indexed as

SoftwareMolecular Sequence AnnotationSequence Analysisdatabasessample annotationsequencing data annotationsequencing experiments

Identifiers

PMID32170312
PMCPMC7069921

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.