bonito
llvm-project
bonito | llvm-project | |
---|---|---|
8 | 350 | |
372 | 25,563 | |
0.0% | 2.0% | |
7.3 | 10.0 | |
5 months ago | 9 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
bonito
-
miRNA Detection
There is a technology called Nanopore. I’ve never used it myself but the concept was to be able to sequence samples of nucleic acid out in the field. A quick pubmed search indicated that it can detect miRNA, but maybe with some modifications. https://nanoporetech.com Best of luck with it!
-
Oxford University Press’s new logo is unfathomably bad
> An unpopular opinion: there are too many other logos that look like the original logo
There are also too many logos that look like the new logo. The first blue circle logos that spring to mind are Blue Circle Cement/Tarmac/Lafarge [1] and Oxford Nanopore [2].
[1]: https://en.wikipedia.org/wiki/Tarmac_(company)
[2]: https://nanoporetech.com/
- PORTABLE DNA SEQUENCER!!!!
-
Ask HN: Who is hiring? (May 2022)
Oxford Nanopore Technologies (https://nanoporetech.com/) | Front end developer | Full-time | Oxford | Remote (UK)
Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and commercial presence in many global locations across the US, APAC and Europe. Our DNA/RNA sequencing platform is the only technology that offers real-time analysis (for rapid insights), in fully scalable formats from pocket to population scale. Our goal is to enable the analysis of any living thing, by anyone, anywhere.
Tech stack: Electron, Stencil, React, Typescript, RxJS, GRPC
For more details, please email: [email protected]
- El primer genoma completo de un ser humano abre una nueva era en la ciencia
-
Buying artificial membranes
Ok this isn't really my area but I know that there are labs/companies performing these types of electrical current disturbance measurements of membrane-type proteins for both DNA sequencing (https://nanoporetech.com/) and protein sequencing (https://www.nature.com/articles/s41587-019-0401-y).
-
ELI5: Why home blood tests do not exist, while we can measure our sugar levels with personal devices at home?
Now nanopore sequencing is solid state and gets much longer reads. https://nanoporetech.com/ and https://en.wikipedia.org/wiki/Nanopore_sequencing
-
Raw nanowire sequencer data
Also best of luck with the basecaller, I will say that the latest guppy versions are very good, both in terms of accuracy and speed, as they are GPU accelerated and the best I've seen in accuracy. You may also be interested in Bonito, a tool to generate your own GPU basecalling model or tweak existing models to your data. https://github.com/nanoporetech/bonito.
llvm-project
- Add support for Qualcomm Oryon processor
-
Ask HN: Which books/resources to understand modern Assembler?
'Computer Architeture: A Quantitative Apporach" and/or more specific design types (mips, arm, etc) can be found under the Morgan Kaufmann Series in Computer Architeture and Design.
"Getting Started with LLVM Core Libraries: Get to Grips With Llvm Essentials and Use the Core Libraries to Build Advanced Tools "
"The Architecture of Open Source Applications (Volume 1) : LLVM" https://aosabook.org/en/v1/llvm.html
"Tourist Guide to LLVM source code" : https://blog.regehr.org/archives/1453
llvm home page : https://llvm.org/
llvm tutorial : https://llvm.org/docs/tutorial/
llvm reference : https://llvm.org/docs/LangRef.html
learn by examples : C source code to 'llvm' bitcode : https://stackoverflow.com/questions/9148890/how-to-make-clan...
-
Flang-new: How to force arrays to be allocated on the heap?
See
https://github.com/llvm/llvm-project/issues/88344
https://fortran-lang.discourse.group/t/flang-new-how-to-forc...
- The LLVM Compiler Infrastructure
-
Programming from Top to Bottom - Parsing
You can never mistake type_declaration with an identifier, otherwise the program will not work. Aside from that constraint, you are free to name them whatever you like, there is no one standard, and each parser has it own naming conventions, unless you are planning to use something like LLVM. If you are interested, you can see examples of naming in different language parsers in the AST Explorer.
-
Look ma, I wrote a new JIT compiler for PostgreSQL
> There is one way to make the LLVM JIT compiler more usable, but I fear it’s going to take years to be implemented: being able to cache and reuse compiled queries.
Actually, it's implemented in LLVM for years :) https://github.com/llvm/llvm-project/commit/a98546ebcd2a692e...
-
C++ Safety, in Context
> It's true, this was a CVE in Rust and not a CVE in C++, but only because C++ doesn't regard the issue as a problem at all. The problem definitely exists in C++, but it's not acknowledged as a problem, let alone fixed.
Can you find a link that substantiates your claim? You're throwing out some heavy accusations here that don't seem to match reality at all.
Case in point, this was fixed in both major C++ libraries:
https://github.com/gcc-mirror/gcc/commit/ebf6175464768983a2d...
https://github.com/llvm/llvm-project/commit/4f67a909902d8ab9...
So what C++ community refused to regard this as an issue and refused to fix it? Where is your supporting evidence for your claims?
-
Clang accepts MSVC arguments and targets Windows if its binary is named clang-cl
For everyone else looking for the magic in this almost 7k lines monster, look at line 6610 [1].
[1] https://github.com/llvm/llvm-project/blob/8ec28af8eaff5acd0d...
-
Rewrite the VP9 codec library in Rust
Through value tracking. It's actually LLVM that does this, GCC probably does it as well, so in theory explicit bounds checks in regular C code would also be removed by the compiler.
How it works exactly I don't know, and apparently it's so complex that it requires over 9000 lines of C++ to express:
https://github.com/llvm/llvm-project/blob/main/llvm/lib/Anal...
-
Fortran 2023
https://github.com/llvm/llvm-project/blob/main/flang/docs/F2...
What are some alternatives?
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
NanoSim - Nanopore sequence read simulator
gcc
fossa-cli - Fast, portable and reliable dependency analysis for any codebase. Supports license & vulnerability scanning for large monoliths. Language-agnostic; integrates with 20+ build systems.
SDL - Simple Directmedia Layer
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
cosmopolitan - build-once run-anywhere c library
pipeline-structural-variation - Pipeline for calling structural variations in whole genomes sequencing Oxford Nanopore data
windmill - Open-source developer platform to turn scripts into workflows and UIs. Fastest workflow engine (5x vs Airflow). Open-source alternative to Airplane and Retool.