Evidence map›Paper›PMID 27308864›Full record

ArticlePLoS computational biology2016

GRAbB: Selective Assembly of Genomic Regions, a New Niche for Genomic Research.

Balázs Brankovics, Hao Zhang, Anne D van Diepeningen, Theo A J van der Lee, Cees Waalwijk, G Sybren de Hoog

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Disruption of the standard kinetochore in holocentricProceedings of the National Academy of Sciences of the United States of America · 2023
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  7. Discovery of Early-BranchingFrontiers in microbiology · 2022
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  11. Article
  12. The complete molecular sequence of chloroplast genome ofMitochondrial DNA. Part B, Resources · 2021
    Article
  13. Article
  14. Direct visualization of degradation microcompartments at the ER membrane.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Detecting Introgression Between Members of theFrontiers in microbiology · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Balázs BrankovicsCBS-KNAW Fungal Biodiversity Centre, Utrecht, the Netherlands.ORCID 0000-0003-0536-7787
Hao ZhangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agriculture Sciences, Beijing, China.
Anne D van DiepeningenCBS-KNAW Fungal Biodiversity Centre, Utrecht, the Netherlands.
Theo A J van der LeeWageningen University and Research Centre, Wageningen, the Netherlands.
Cees WaalwijkWageningen University and Research Centre, Wageningen, the Netherlands.
G Sybren de HoogCBS-KNAW Fungal Biodiversity Centre, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GRAbB (Genomic Region Assembly by Baiting) is a new program that is dedicated to assemble specific genomic regions from NGS data. This approach is especially useful when dealing with multi copy regions, such as mitochondrial genome and the rDNA repeat region, parts of the genome that are often neglected or poorly assembled, although they contain interesting information from phylogenetic or epidemiologic perspectives, but also single copy regions can be assembled. The program is capable of targeting multiple regions within a single run. Furthermore, GRAbB can be used to extract specific loci from NGS data, based on homology, like sequences that are used for barcoding. To make the assembly specific, a known part of the region, such as the sequence of a PCR amplicon or a homologous sequence from a related species must be specified. By assembling only the region of interest, the assembly process is computationally much less demanding and may lead to assemblies of better quality. In this study the different applications and functionalities of the program are demonstrated such as: exhaustive assembly (rDNA region and mitochondrial genome), extracting homologous regions or genes (IGS, RPB1, RPB2 and TEF1a), as well as extracting multiple regions within a single run. The program is also compared with MITObim, which is meant for the exhaustive assembly of a single target based on a similar query sequence. GRAbB is shown to be more efficient than MITObim in terms of speed, memory and disk usage. The other functionalities (handling multiple targets simultaneously and extracting homologous regions) of the new program are not matched by other programs. The program is available with explanatory documentation at https://github.com/b-brankovics/grabb. GRAbB has been tested on Ubuntu (12.04 and 14.04), Fedora (23), CentOS (7.1.1503) and Mac OS X (10.7). Furthermore, GRAbB is available as a docker repository: brankovics/grabb (https://hub.docker.com/r/brankovics/grabb/).

Indexed as

SoftwareAlgorithmsComputational BiologyComputer SimulationDNA, FungalDNA, RibosomalFusariumGenome, FungalGenome, MitochondrialGenomicsHigh-Throughput Nucleotide SequencingDNA, FungalDNA, Ribosomal

Identifiers

PMID27308864
PMCPMC4911045

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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.