mattjmeier
My research is focused on the use of genomics technologies in the protection of human health.
Government of Canada
mattjmeier's Stars
rmzelle/ref-extractor
Reference Extractor - Extract Zotero/Mendeley references from Microsoft Word files
babagreensheep/jellyfin-tizen-docker
immich-app/immich
High performance self-hosted photo and video management solution.
samtools/hts-specs
Specifications of SAM/BAM and related high-throughput sequencing file formats
photoprism/photoprism
AI-Powered Photos App for the Decentralized Web 🌈💎✨
lephisto/pfsense-analytics
Pfsense Analytics w/ Graylog, Elasticsearch, InfluxDB and Grafana fully dockerized for Firewall and DPI..
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
DavidIlie/personal-dashboard
Personal Dashboard for my services
jooyoungseo/jy_CV
JooYoung Seo's Academic CV Written in R Markdown
AmruthPillai/Reactive-Resume
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
brianherman/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.
NX211/homer-icons
JustAnotherArchivist/snscrape
A social networking service scraper in Python
nbarrowman/vtree
An R package for calculating and drawing variable trees
USEPA/httrpl_pilot
rajannpatel/Pi-Hole-on-Google-Compute-Engine-Free-Tier-with-Full-Tunnel-and-Split-Tunnel-Wireguard-VPN-Configs
Run your own privacy-first ad blocking service at home, or in the cloud for free with Google Cloud Services.
mkorthof/freenom-script
Freenom.com Domain Renewal and Dynamic DNS script
FrederickHuangLin/ANCOM-Code-Archive
Archive: R functions for Analysis of Composition of Microbiomes (ANCOM). Please check our ANCOMBC R package for the most up-to-date ANCOM function.
MichaelChirico/funchir
R package of convenient functions
whatshap/whatshap
Read-based phasing of genomic variants, also called haplotype assembly
chanzuckerberg/cellxgene
An interactive explorer for single-cell transcriptomics data
statgen/demuxlet
Genetic multiplexing of barcoded single cell RNA-seq
jimmejardine/qiqqa-open-source
The open-sourced version of the award-winning Qiqqa research management tool for Windows
pjshort/DDDNonCoding2017
Code for paper published in March, 2017 analysing the role of de novo mutations in severe developmental disorders (part of the deciphering developmental disorders project).
MCTverheijen/R-ODAF
Omics Data Analysis Framework for Regulatory application
mpg-age-bioinformatics/Duplex-Sequencing
seabbs/cv
Sam Abbott's Curriculum Vitae
ropensci/weathercan
R package for downloading weather data from Environment and Climate Change Canada
auerbachs/BMDExpress-2
Software for analyzing high dimensional dose-response data
ECCC-CDAS/RClimDex
Simple R package for ETCCDI/CRD climate change indices calculations