ashbeats
I'm a product designer slash entrepreneur who builds stuff for research, art and profit.
AxiKey
Pinned Repositories
2023-node-dhcp
A DHCP server and client written in pure JavaScript
aes-finder
Utility to find AES keys in running processes
BetterClearTypeTuner
A better way to configure ClearType font smoothing on Windows 10.
boomerang
End user oriented web performance testing and beaconing
expand-paths
this project is used by @recent-win-cli.
fusejs
Low level fuse bindings for nodejs
jumplist-parser-lite
A safe & non-forensic, Windows Jumplist parser.
PHP-Download-Accelerator
Written mainly for curiosity. Download a file in a manner simillar to download accelerators by breaking up the file into sections and downloading each section simultaneously. Finally stiching file together on server.
resolve-lnk
Resolves basic information from windows lnk files using pure js
Versioning-FLP-With-Git
Versioning FLStudio FLP's With Git For Windows
ashbeats's Repositories
ashbeats/voice-builder
An opensource text-to-speech (TTS) voice building tool
ashbeats/wxwidgets-vscode
wxWidgets Visual Studio Code project
ashbeats/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273
RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived rather than host or infectious in origin. For this work, RNAs were obtained as discards from the small portions of vaccine doses that remained in vials after immunization; such portions would have been required to be otherwise discarded and were analyzed under FDA authorization for research use. To obtain the small amounts of RNA needed for characterization, vaccine remnants were phenol-chloroform extracted using TRIzol Reagent (Invitrogen), with intactness assessed by Agilent 2100 Bioanalyzer before and after extraction. Although our analysis mainly focused on RNAs obtained as soon as possible following discard, we also analyzed samples which had been refrigerated (~4 ℃) for up to 42 days with and without the addition of EDTA. Interestingly a substantial fraction of the RNA remained intact in these preparations. We note that the formulation of the vaccines includes numerous key chemical components which are quite possibly unstable under these conditions-- so these data certainly do not suggest that the vaccine as a biological agent is stable. But it is of interest that chemical stability of RNA itself is not sufficient to preclude eventual development of vaccines with a much less involved cold-chain storage and transportation. For further analysis, the initial RNAs were fragmented by heating to 94℃, primed with a random hexamer-tailed adaptor, amplified through a template-switch protocol (Takara SMARTerer Stranded RNA-seq kit), and sequenced using a MiSeq instrument (Illumina) with paired end 78-per end sequencing. As a reference material in specific assays, we included RNA of known concentration and sequence (from bacteriophage MS2). From these data, we obtained partial information on strandedness and a set of segments that could be used for assembly. This was particularly useful for the Moderna vaccine, for which the original vaccine RNA sequence was not available at the time our study was carried out. Contigs encoding full-length spikes were assembled from the Moderna and Pfizer datasets. The Pfizer/BioNTech data [Figure 1] verified the reported sequence for that vaccine (https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/), while the Moderna sequence [Figure 2] could not be checked against a published reference. RNA preparations lacking dsRNA are desirable in generating vaccine formulations as these will minimize an otherwise dramatic biological (and nonspecific) response that vertebrates have to double stranded character in RNA (https://www.nature.com/articles/nrd.2017.243). In the sequence data that we analyzed, we found that the vast majority of reads were from the expected sense strand. In addition, the minority of antisense reads appeared different from sense reads in lacking the characteristic extensions expected from the template switching protocol. Examining only the reads with an evident template switch (as an indicator for strand-of-origin), we observed that both vaccines overwhelmingly yielded sense reads (>99.99%). Independent sequencing assays and other experimental measurements are ongoing and will be needed to determine whether this template-switched sense read fraction in the SmarterSeq protocol indeed represents the actual dsRNA content in the original material. This work provides an initial assessment of two RNAs that are now a part of the human ecosystem and that are likely to appear in numerous other high throughput RNA-seq studies in which a fraction of the individuals may have previously been vaccinated. ProtoAcknowledgements: Thanks to our colleagues for help and suggestions (Nimit Jain, Emily Greenwald, Lamia Wahba, William Wang, Amisha Kumar, Sameer Sundrani, David Lipman, Bijoyita Roy). Figure 1: Spike-encoding contig assembled from BioNTech/Pfizer BNT-162b2 vaccine. Although the full coding region is included, the nature of the methodology used for sequencing and assembly is such that the assembled contig could lack some sequence from the ends of the RNA. Within the assembled sequence, this hypothetical sequence shows a perfect match to the corresponding sequence from documents available online derived from manufacturer communications with the World Health Organization [as reported by https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/]. The 5’ end for the assembly matches the start site noted in these documents, while the read-based assembly lacks an interrupted polyA tail (A30(GCATATGACT)A70) that is expected to be present in the mRNA.
ashbeats/AudioKit
Swift audio synthesis, processing, & analysis platform for iOS, macOS and tvOS
ashbeats/chromelogger
chrome extension for server side console logging
ashbeats/CLIP
Contrastive Language-Image Pretraining
ashbeats/ctf-json-form-editor
ashbeats/evernote-sdk-js
Evernote SDK for JavaScript (forked)
ashbeats/Food-Delivery-App-React-Native
Food Delivery App
ashbeats/giget
✨ Download templates and git repositories with pleasure!
ashbeats/gmail-to-csv
Scrape data from Gmail to CSV
ashbeats/Highlightr-Plugin
A minimal and aesthetically pleasing highlighting menu that makes color-coded highlighting much easier 🎨.
ashbeats/insightface
State-of-the-art 2D and 3D Face Analysis Project
ashbeats/iPlug2
C++ Audio Plug-in Framework for desktop, mobile and web [PRE-RELEASE]
ashbeats/KivyStudioDesigner
UI designer for Kivy
ashbeats/leptonica
Leptonica is an open source library containing software that is broadly useful for image processing and image analysis applications. The official github repository for Leptonica is: danbloomberg/leptonica. See leptonica.org for more documentation and recent releases.
ashbeats/nitro
⚗️ Build and deploy universal JavaScript servers
ashbeats/obsidian-style-settings
A dynamic user interface for adjusting theme, plugin, and snippet CSS variables within Obsidian (fork)
ashbeats/open-tamil
Open Source Tamil NLP Tools - தமிழ் இயற்கை மொழி பகுப்பாய்வு நிரல்தொகுப்பு
ashbeats/PersonalGPT
PersonalGPT is a custom Streamlit app created for a more personalized version of ChatGPT.
ashbeats/php-functional
Functors, Applicative Functors and Monads in PHP
ashbeats/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
ashbeats/SciSharp-Stack-Examples
Practical examples written in SciSharp's machine learning libraries
ashbeats/unplugin
Unified plugin system for Vite, Rollup, Webpack, and more
ashbeats/UTF-unknown
Character set detector build in C# - .NET 5+, .NET Core 2+, .NET standard 1+ & .NET 4+
ashbeats/vuetify
🐉 Material Component Framework for Vue
ashbeats/wavesurfer.js
Navigable waveform built on Web Audio and Canvas
ashbeats/wildduck
Opinionated email server
ashbeats/windmill-dashboard
📊 A multi theme, completely accessible, ready for production dashboard.
ashbeats/WindowsSearchManager
Utility to manage a Windows Search™ internals.