Evidence map›Paper›PMID 39659591›Full record

ArticleBioinformatics advances2024

blast2galaxy: a CLI and Python API for BLAST+ and DIAMOND searches on Galaxy servers.

Patrick König, Anne Fiebig, Thomas Münch, Björn Grüning, Uwe Scholz

Abstract read
In one paragraph

Article in Bioinformatics advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Patrick KönigDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, 06466, Germany.ORCID https://orcid.org/0000-0002-8948-6793
Anne FiebigDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, 06466, Germany.ORCID https://orcid.org/0000-0003-3159-3593
Thomas MünchDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, 06466, Germany.ORCID https://orcid.org/0009-0000-0560-6253
Björn GrüningBioinformatics Group, University of Freiburg, Freiburg im Breisgau, 79098, Germany.ORCID https://orcid.org/0000-0002-3079-6586
Uwe ScholzDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, 06466, Germany.ORCID https://orcid.org/0000-0001-6113-3518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The Galaxy workflow system is an open-source platform supporting data-intensive research in life sciences, featuring a user-friendly web interface for complex analyses without extensive programming. It also offers a representational state transfer based API, enabling remote execution of specific tools. Galaxy supports similarity searches for nucleotide and amino acid sequences, with integrated tools like NCBI BLAST+ and DIAMOND. However, no specialized software currently exists for convenient use of NCBI BLAST+ and DIAMOND via the Galaxy API. Results: blast2galaxy is a Python package that uses the Galaxy API to run sequence alignments with NCBI BLAST+ and DIAMOND as Galaxy-wrapped tools on compatible servers. It includes a command-line interface that mirrors the CLI of BLAST+ and DIAMOND and a high-level Python API for direct alignments from Python applications. The package relies on bioblend for communication with the Galaxy API. Availability and implementation: blast2galaxy is available as open-source software under the MIT license. The source code is available on Github: https://github.com/IPK-BIT/blast2galaxy. It can be installed from the Python Package Index using "pip install blast2galaxy" or from the Bioconda channel using "conda install -c bioconda blast2galaxy". Docker and Apptainer images are available and referenced in the documentation which is available under https://blast2galaxy.readthedocs.io.

Identifiers

PMID39659591
PMCPMC11629687

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.