araufdogan's Stars
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
shieldfy/API-Security-Checklist
Checklist of the most important security countermeasures when designing, testing, and releasing your API
afollestad/material-dialogs
😍 A beautiful, fluid, and extensible dialogs API for Kotlin & Android.
rakyll/hey
HTTP load generator, ApacheBench (ab) replacement
goabstract/Marketing-for-Engineers
A curated collection of marketing articles & tools to grow your product.
panjf2000/ants
🐜🐜🐜 ants is the most powerful and reliable pooling solution for Go.
dagger/dagger
An engine to run your pipelines in containers
koush/AndroidAsync
Asynchronous socket, http(s) (client+server) and websocket library for android. Based on nio, not threads.
shopspring/decimal
Arbitrary-precision fixed-point decimal numbers in Go
yeemachine/kalidokit
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Karumi/Dexter
Android library that simplifies the process of requesting permissions at runtime.
tensortrade-org/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
coyove/goflyway
An encrypted HTTP server
ChadCSong/ShineButton
This is a UI lib for Android. Effects like shining.
NAalytics/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.
pedroSG94/RootEncoder
RootEncoder for Android (rtmp-rtsp-stream-client-java) is a stream encoder to push video/audio to media servers using protocols RTMP, RTSP, SRT and UDP with all code written in Java/Kotlin
viromedia/viro
ViroReact: AR and VR using React Native
matryer/vice
Go channels at horizontal scale (powered by message queues)
throttled/throttled
Package throttled implements rate limiting access to resources such as HTTP endpoints.
inetaf/tcpproxy
Proxy TCP connections based on static rules, HTTP Host headers, and SNI server names (Go package or binary)
TakuSemba/RtmpPublisher
Rtmp client on Android. Live Video Streaming.
jpillora/ipfilter
A package for IP Filtering in Go (golang)
pedroSG94/vlc-example-streamplayer
Example code how to play a stream with VLC
gen2brain/x264-go
Go bindings for x264
felipejfc/udpx
A Fast UDP Proxy written in Golang
monnand/dhkx
Diffie-Hellman Key-exchange algorithm in Go
mercadolibre/flamepool
cotunnel/client
Remote access and tunnels to your localhost from everywhere in the world.
cotunnel/packet
cotunnel's packet library.