Pinned Repositories
AudioKit
Swift audio synthesis, processing, & analysis platform for iOS, macOS and tvOS
Blockchain-Swift-Playground
An educational implementation of a simple blockchain in Swift Playgrounds.
Columbus
Halloween Hackathon Stuttgart 2014
CoreMLTest
The browser that can predict where is the user gaze area in smart phone's screen.
CreateML-Tomato-Banana
A very simple example project that detects bananas and tomatoes for enlight.nyc
FRServer
Objective C Class for easy REST API calls.
HumHub-for-iOS
A simple Swift-framework to create an iOS app for HumHub instances with native push-notifications.
Steal-Phone-Number
☎️💨🤯 I have found an exploit that allows every app to steal a users phone number without asking for any permissions.
StravaZpot-Swift
An API to integrate with Strava on iOS apps
STUPRO
Satellite-based terrain visualization for environmental monitoring and presentation of relevant observations
frogg's Repositories
frogg/HumHub-for-iOS
A simple Swift-framework to create an iOS app for HumHub instances with native push-notifications.
frogg/StravaZpot-Swift
An API to integrate with Strava on iOS apps
frogg/AudioKit
Swift audio synthesis, processing, & analysis platform for iOS, macOS and tvOS
frogg/MeshGradient
frogg/MIDISequencer
MIDI Sequencer that sends MIDI events to other apps.
frogg/OpenQuickly
A custom 'open quickly' window that imitates macOS' Spotlight
frogg/APNSwift
An HTTP/2 APNS library built on AsyncHTTPClient
frogg/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.
frogg/Awesome-Black-Friday-Cyber-Monday
Awesome deals on Black Friday: Apps, SaaS, Books, Courses, etc.
frogg/BulletinBoard
General-purpose contextual cards for iOS
frogg/Campus-UniStuttgart-iOS
Development of the TUM Campus App for iOS devices - for and from students at Technical University of Munich.
frogg/CoreGPX
A library for parsing and creation of GPX location files. Purely Swift.
frogg/cwa-documentation
Project overview, general documentation, and white papers.
frogg/discourse
A platform for community discussion. Free, open, simple.
frogg/discourse_docker
A Docker image for Discourse
frogg/Example-iOS
An example of how to use GitHub Actions for iOS app development
frogg/express-hello-world
Express Hello World Example on Render https://render.com
frogg/frederik.riedel.wtf
Sharing some of my sketches here in better quality than instagram provides. Find me sketching on the streets in Kreuzberg or some Techno Club.
frogg/GumroadLicenseValidator
A super simple tool for iOS and macOS Swift developers to check validity of a Gumroad-issued software license keys
frogg/iOSLocalizationEditor
Simple macOS editor app to help you manage iOS app localizations by allowing you to edit all the translations side by side
frogg/iRedpoint-Training
The training material for iRedpoint. Open sourced, so everyone can contribute.
frogg/Kitura-WebSocket
WebSocket support for Kitura
frogg/LaunchAtLogin
Add “Launch at Login” functionality to your macOS app in seconds
frogg/matomo-sdk-ios
Matomo iOS, tvOS and macOS SDK: a Matomo tracker written in Swift
frogg/mediawiki-docker
Docker container for MediaWiki
frogg/modal-view
Present Modal view with Swift UI in the same way you would do with NavigationView
frogg/OAuthSwift
Swift based OAuth library for iOS
frogg/one-sec-support
The support section for Navi
frogg/parse-server-example
Example server using Express and the parse-server module.
frogg/Player
▶️ video player in Swift, simple way to play and stream media on iOS/tvOS