GenomicSQLite
Genomics Extension for SQLite (by mlin)
megahit
Ultra-fast and memory-efficient (meta-)genome assembler (by voutcn)
Our great sponsors
| GenomicSQLite | megahit | |
|---|---|---|
| 1 | 1 | |
| 152 | 554 | |
| - | - | |
| 3.4 | 0.0 | |
| 3 months ago | 15 days ago | |
| C++ | C++ | |
| Apache License 2.0 | 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.
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.
GenomicSQLite
Posts with mentions or reviews of GenomicSQLite.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-31.
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sqlite-zstd: Transparent dictionary-based row-level compression for SQLite - An SQLite extension written in Rust to reduce the database size without losing functionality
Yes, that is indeed an obviously missing part. I knew about ZIPVFS, but somehow forgot to investigate closer. Probably because I started this project before GenomicsSQLite was a thing (that seems like the best alternative).
megahit
Posts with mentions or reviews of megahit.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Woman has had her twitter blocked after proving that the covid-19 vaccine has been created from a computer generated genomic sequence of the virus & not one isolated from an infected person
If you read carefully, you will find that they used the expected genome to find the genome in their cell culture. They used RT-PCR at 40 cycles to magnify the sequences of the published genome, then used a software library (https://github.com/voutcn/megahit) to assemble into a full sequence. So in other words, they had a soup of a lot of things, they saw cytopathic effects which they attribute to the virus replicating (even though it could easily be attributed to the chemicals that they used in their cocktail), then they extracted the DNA they expected to find using RT-PCR. This is not an isolate, they didnt isolate something, measure it, and find it matches the published DNA. They cultured and extracted the information they expected to find. It is circular reasoning.
What are some alternatives?
When comparing GenomicSQLite and megahit you can also consider the following projects:
hap.py - Haplotype VCF comparison tools
bowtie2 - A fast and sensitive gapped read aligner
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
bwa-mem2 - The next version of bwa-mem
seq - A high-performance, Pythonic language for bioinformatics
bowtie - An ultrafast memory-efficient short read aligner
nanopolish - Signal-level algorithms for MinION data
octopus - Bayesian haplotype-based mutation calling