Sniffles VS truvari

Compare Sniffles vs truvari and see what are their differences.

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Sniffles truvari
1 1
508 291
- 3.4%
7.7 9.2
7 days ago 9 days ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Sniffles

Posts with mentions or reviews of Sniffles. We have used some of these posts to build our list of alternatives and similar projects.

truvari

Posts with mentions or reviews of truvari. We have used some of these posts to build our list of alternatives and similar projects.
  • VCF files for ML and AI
    1 project | /r/bioinformatics | 12 Nov 2021
    If you use python and are familiar with pandas (which is more data science friendly than anything VCF), Truvari has a utility for conversion. `truvari vcf2df input.vcf.gz output.jl` If the VCFs are very large, I'd also consider scikit-allele.

What are some alternatives?

When comparing Sniffles and truvari you can also consider the following projects:

MultiQC - Aggregate results from bioinformatics analyses across many samples into a single report.

gwas2vcf - Convert GWAS summary statistics to VCF

fastp - An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

TileDB-VCF - Efficient variant-call data storage and retrieval library using the TileDB storage library.

manta - Structural variant and indel caller for mapped sequencing data

cyvcf2 - cython + htslib == fast VCF and BCF processing

pipeline-structural-variation - Pipeline for calling structural variations in whole genomes sequencing Oxford Nanopore data

Hail - Cloud-native genomic dataframes and batch computing

locust - Write scalable load tests in plain Python 🚗💨

hap.py - Haplotype VCF comparison tools