optimusleobear's Stars
aistabci/abci-docs
ABCI User Guide & Portal Guide
XTLS/Xray-core
Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.
v2fly/v2ray-core
A platform for building proxies to bypass network restrictions.
microsoft/vscode-python
Python extension for Visual Studio Code
microsoft/vscode
Visual Studio Code
microsoft/vscode-cpptools
Official repository for the Microsoft C/C++ extension for VS Code.
coder/code-server
VS Code in the browser
Chalarangelo/30-seconds-of-code
Short code snippets for all your development needs
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
paulmillr/encrypted-dns
DNS over HTTPS config profiles for iOS & macOS
Jittor/JDet
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
MacDownApp/macdown
Open source Markdown editor for macOS.
notracking/hosts-blocklists
Automatically updated, moderated and optimized lists for blocking ads, trackers, malware and other garbage
KaitoHH/24-jieqi-ics
**二十四节气日历订阅
ArchiveBox/ArchiveBox
🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
bitwarden/server
Bitwarden infrastructure/backend (API, database, Docker, etc).
SeitaroShinagawa/FavoritePapers
auspicious3000/SpeechSplit
Unsupervised Speech Decomposition Via Triple Information Bottleneck
TheAlgorithms/Python
All Algorithms implemented in Python
TheAlgorithms/Java
All Algorithms implemented in Java
naiba/nezha
:trollface: Self-hosted, lightweight server and website monitoring and O&M tool
Xovee/uestc-course
电子科技大学课程资料共享平台. Course material sharing platform of UESTC.
trojan-gfw/igniter
A trojan client for Android (UNDER CONSTRUCTION).
mozilla/blurts-server
Mozilla Monitor arms you with tools to keep your personal information safe. Find out what hackers already know about you and learn how to stay a step ahead of them.
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.
nathan-abela/HackerRank-Solutions
Solutions to HackerRank practice, tutorials and interview preparation problems with Python, SQL, C# and JavaScript
github-education-resources/GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
KittyKatt/screenFetch
Fetches system/theme information in terminal for Linux desktop screenshots.
Chikage0o0/Linux-NetSpeed
将Linux现常用的网络加速集成在一起
TheisTrue/MLofAndrew-Ng
吴恩达机器学习课程的讲义,欢迎大家一起学习