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Top 23 Bioinformatic Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
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awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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fastp
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
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Rust-Bio
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
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deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
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getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
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SaaSHub
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course Computer science is very wast field the fundamental remains same, learn basic fundamentals, data structures, concepts of object oriented programming.
Project mention: Look over my purchase, is there anything I should return? | /r/buildapc | 2023-05-06
> It's been a while since you can rerun/resume Nextflow pipelines
Yes, you can resume, but you need your whole upstream DAG to be present. Snakemake can rerun a job when only the dependencies of that job are present, which allows to neatly manage the disk usage, or archive an intermediate state of a project and rerun things from there.
> and yes, you can have dry runs in Nextflow
You have stubs, which really isn't the same thing.
> I have no idea what you're referring to with the 'arbitrary limit of 1000 parallel jobs' though
I was referring to this issue: https://github.com/nextflow-io/nextflow/issues/1871. Except, the discussion doesn't give the issue a full justice. Nextflow spans each job in a separate thread, and when it tries to span 1000+ condor jobs it die with a cryptic error message. The option of -Dnxf.pool.type=sync and -Dnxf.pool.maxThreads=N prevents the ability to resume and attempts to rerun the pipeline.
> As for deleting temporary files, there are features that allow you to do a few things related to that, and other features being implemented.
There are some hacks for this - but nothing I would feel safe to integrate into a production tool. They are implementing something - you're right - and it's been the case for several years now, so we'll see.
Snakemake has all that out of the box.
fastp + multiQC + Salmon + DESeq2 all some nextflow workflow. It is a good exercise (not complicated) to create the pipeline from scratch the first time to properly understand each tool.
Project mention: Ask HN: Comment here about whatever you're passionate about at the moment | news.ycombinator.com | 2023-11-06Interested as well! But the future is not so dark, things like e.g. https://github.com/lh3/minimap2 are a breath of fresh air.
Project mention: my friend showed me his code, thees are all functions | /r/ProgrammerHumor | 2023-05-25Check out these sweet macros (from the same repo): https://github.com/lh3/bwa/blob/139f68fc4c3747813783a488aef2adc86626b01b/kbtree.h
Maybe it would help you to look at the galaxy project: GitHub main site
seqtk: A lightweight and versatile tool for processing FASTQ and FASTA files. https://github.com/lh3/seqtk
I've been thinking to learn Rust for these use cases, but always get frustrated with the complexity.
I find Go is a great middle-ground though! And now there starts to be a few more bio-related tools and toolkits out there, including:
- https://github.com/vertgenlab/gonomics
- https://github.com/biogo/biogo
- https://github.com/shenwei356/bio
... except from there being some really popular bio tools written in Go, like:
- https://github.com/shenwei356/seqkit
fastp + multiQC + Salmon + DESeq2 all some nextflow workflow. It is a good exercise (not complicated) to create the pipeline from scratch the first time to properly understand each tool.
Bioinformatics related posts
- Bioawk: Awk Modified for Biological Data
- A look at the Mojo language for bioinformatics
- Outperforming Rust DNA sequence parsing benchmarks by 50% with Mojo
- R pipelines for bulk RNA-seq analyses
- Ask HN: Comment here about whatever you're passionate about at the moment
- NHI Genome Studies: Mexico Govt Sept 12 Congressional hearing
- Bioinformatics Data Structures in Rust
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A note from our sponsor - SaaSHub
www.saashub.com | 24 Apr 2024
Index
What are some of the best open-source Bioinformatic projects? This list will help you:
Project | Stars | |
---|---|---|
1 | cs-video-courses | 64,788 |
2 | dash | 20,472 |
3 | Biopython | 4,158 |
4 | deepvariant | 3,076 |
5 | awesome-single-cell | 2,898 |
6 | Awesome-Bioinformatics | 2,874 |
7 | nextflow | 2,538 |
8 | fastp | 1,760 |
9 | scanpy | 1,745 |
10 | minimap2 | 1,684 |
11 | scispacy | 1,612 |
12 | bioconda-recipes | 1,565 |
13 | Rust-Bio | 1,494 |
14 | bwa | 1,443 |
15 | galaxy | 1,313 |
16 | seqtk | 1,308 |
17 | MMseqs2 | 1,246 |
18 | seqkit | 1,202 |
19 | MultiQC | 1,161 |
20 | deep_gcns_torch | 1,104 |
21 | getting-started-with-genomics-tools-and-resources | 1,058 |
22 | scipipe | 1,054 |
23 | react-plotly.js | 990 |
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