quast VS too-many-cells

Compare quast vs too-many-cells and see what are their differences.

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quast too-many-cells
1 -
361 100
2.8% -
0.0 4.5
8 months ago 5 months ago
AMPL Haskell
GNU General Public License v3.0 or later GNU General Public License v3.0 only
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.

quast

Posts with mentions or reviews of quast. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-01.
  • Deciding on genome assembly software
    6 projects | /r/bioinformatics | 1 Oct 2021
    Have you looked into QUAST for comparison of assemblies? How big is the bacterial community? You may need to do some binning of your contigs to separate them into species specific genomes. I can suggest metaGEM (developed by me! should be online in NAR any day now) for generating MAGs for your bacterial species. Although it currently only supports short reads, it may give you an idea of what the bacterial community looks like. Maybe also look into EukCC for estimating fungal genome completeness and/or EukRep for splitting the contigs according to prokaryotic/eukaryotic provenance. You could also try estimating community composition directly from short read analysis using e.g. mOTUs2, kraken/braken, metaphlan, etc.

too-many-cells

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

We haven't tracked posts mentioning too-many-cells yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing quast and too-many-cells you can also consider the following projects:

metaGEM - :gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data

subsample - Subsample data from a uniform distribution so two different statuses for the same entity have the same number of samples.

merqury - k-mer based assembly evaluation

collapse-duplication - Process the output of heatitup in order to collapse sequences into clones by similar ITD mutations.

CompareGenomeQualities - Reference free comparison of genome assemblies

integreat - Integrate difference data sources and optionally perform differential integration.

EukRep - Classification of Eukaryotic and Prokaryotic sequences from metagenomic datasets

normalize - normalize

clinker - Gene cluster comparison figure generator

heatitup-complete - Find and annotate ITDs with assembly or read pair joining using suffix trees and characterize the exogenous segments within the spacer using heat diffusion. A layer on top of heatitup for additional functionality such as working with BAM files directly.

DnaFeaturesViewer - :eye: Python library to plot DNA sequence features (e.g. from Genbank files)

tex-join-bib - Compile separate tex files with the same bibliography.