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Insight into VEBA user-base for impactful development
The objective of VEBA is to provide high-quality metagenomics and metatranscriptomics workflows to the community. Understanding the user-base's needs will help me develop VEBA so it can make your research life easier.
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* Indicates required question
Where are you? (e.g., Lab Name | Institute Name | Country Name)
*
Your answer
What type of biome(s) do you study?
*
Marine/aquatic environment
Soil/sediment environment
Extreme environment
Mammalian microbiome
Plant microbiome
Build environment microbiome
Wastewater microbiome
Other:
Required
How do you primarily use VEBA?
*
Conda
Docker
Singularity
Cloud Compute (e.g., AWS, Google, Azure)
You haven't used it yet but you're interested
Other:
How did you find out about VEBA?
*
The 2022 BMC Bioinformatics publication for VEBA 1.0 (10.1186/s12859-022-04973-8)
The 2024 preprint in bioRxiv for VEBA 2.0 (10.1101/2024.03.08.583560)
The 2024 Nucleic Acids Research publication VEBA 2.0 (10.1093/nar/gkae528)
You saw somebody on GitHub starred the repo
You saw somebody posted it on X/Twitter
You saw somebody posted it on LinkedIn
You saw somebody referenced it in a publication
One of your colleagues mentioned it
Other:
What type of data do/will you use as the entry point to VEBA?
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Fastq
Proteins
Genomes
Required
How can we better address your research needs with VEBA?
Your answer
What features have you used?
read preprocessing
(meta)genome assembly
(meta)transcriptome assembly
genome binning
genome/protein clustering
taxonomic classification
protein annotation
read mapping
taxonomic profiling
pathway profiling
phylogenetic inference
biosynthetic potential
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