naobservatory.org/blog/detecting-genetically-engineered-viruses
Preview meta tags from the naobservatory.org website.
Linked Hostnames
15- 13 links tonaobservatory.org
- 2 links topubmed.ncbi.nlm.nih.gov
- 1 link tobondlsc.missouri.edu
- 1 link todata.securebio.org
- 1 link todoi.org
- 1 link togithub.com
- 1 link tojasonrothman.weebly.com
- 1 link tokwhiteson.bio.uci.edu
Search Engine Appearance
https://naobservatory.org/blog/detecting-genetically-engineered-viruses
Detecting Genetically Engineered Viruses With Metagenomic Sequencing
A chimera detection approach
Bing
Detecting Genetically Engineered Viruses With Metagenomic Sequencing
https://naobservatory.org/blog/detecting-genetically-engineered-viruses
A chimera detection approach
DuckDuckGo
Detecting Genetically Engineered Viruses With Metagenomic Sequencing
A chimera detection approach
General Meta Tags
28- titleDetecting Genetically Engineered Viruses With Metagenomic Sequencing
- charsetUTF-8
- viewportwidth=device-width
- generatorAstro v5.3.0
- msapplication-TileColor#da532c
Open Graph Meta Tags
2- og:typewebsite
- og:titleDetecting Genetically Engineered Viruses With Metagenomic Sequencing
Twitter Meta Tags
3- twitter:cardsummary_large_image
- twitter:titleDetecting Genetically Engineered Viruses With Metagenomic Sequencing
- twitter:descriptionA chimera detection approach
Link Tags
13- alternatehttps://naobservatory.org/rss.xml
- alternate icon/favicon.ico?v=2
- apple-touch-icon/apple-touch-icon.png?v=2
- icon/favicon.svg?v=2
- icon/favicon-32x32.png?v=2
Links
28- https://bondlsc.missouri.edu/person/clayton-rushford
- https://data.securebio.org/simulator/#scenario_ww_c=false&scenario_ns_c_1m=false&scenario_ww_f=false&scenario_ns_f_1m=false&custom_scenario=true&covid=true&flu=false&custom_pathogen=false&doubling_time=3&cv_doubling_time=10%25&genome_length=30%2C000&wastewater=false&nasal=false&custom_sampling=true&sigma_shedding_values=0.05&direct_flaggable=true&shedding_duration=5&sigma_shedding_duration=0.05&low_quality=true&sample_population=500%2C000&sampling_m=false&sampling_t=false&sampling_w=true&sampling_r=false&sampling_f=false&sampling_s=false&sampling_u=false&sample_cost=200&nx25b=false&nx10b=false&aviti=false&ns4=false&n6ksp3=false&n6ksp5=false&nanopore=false&custom_sequencing=true&sample_depth=2.5e10&read_length=300&run_cost=16%2C000&sequencing_m=false&sequencing_t=false&sequencing_w=true&sequencing_r=false&sequencing_f=false&sequencing_s=false&sequencing_u=false&processing_delay=4&min_observations=2&sites=1&overhead=25&cost=%241%2C100%2C000&simulations=1%2C000&simulation_label=Sars-CoV-2+Weekly+25B&shedding_values=2.24e-7&outcomes=%5B%7B%22percentile_outcomes%22%3A%5B0.000005262508850475775%2C0.00035013039831699775%2C0.0005539677934226029%2C0.0006592403751944862%2C0.0007942910002135823%2C0.0008606237670282776%2C0.000932590177634337%2C0.0010094748909738628%2C0.0010783229764660689%2C0.0011196921869280304%2C0.001206167069946492%2C0.0012840515292704643%2C0.0013243129469315362%2C0.0014295514750557437%2C0.0014758284002556975%2C0.0015581002352574613%2C0.0016187484056494608%2C0.0017394214082395714%2C0.0017950868835619933%2C0.001851015517911505%2C0.0019523434091187832%2C0.0020102954278765086%2C0.0020651149066003792%2C0.002102762369051062%2C0.002173891277374861%2C0.0022272999837308948%2C0.002285674298357777%2C0.0023323983243191677%2C0.0024005698944308735%2C0.0025088389850358907%2C0.0026312010005914988%2C0.0026891699365285057%2C0.0027591386715779763%2C0.002839342701553078%2C0.0029168094379429456%2C0.002990438244918937%2C0.003065485314459126%2C0.0031729745605903557%2C0.0032703113009364296%2C0.0033687689585165594%2C0.0034411377025951287%2C0.0035219685356038433%2C0.0035985233221575864%2C0.003717509034758795%2C0.003827370618542237%2C0.0039316320077563485%2C0.003990709289948906%2C0.004054780684896747%2C0.004091917177599928%2C0.004141275816745932%2C0.004275351668945321%2C0.004340827147686095%2C0.00449802617558446%2C0.004678014057033108%2C0.004748451295288305%2C0.004869033870297207%2C0.004929564649174094%2C0.0050573363472680806%2C0.005224630334483783%2C0.005331141424154566%2C0.0054800311959266%2C0.005631639326691665%2C0.00572112720109183%2C0.005880850531084691%2C0.005972542412951115%2C0.006078665807409502%2C0.006276453279877126%2C0.006357909266609574%2C0.0065086978576254844%2C0.006698585267868349%2C0.006884275491540985%2C0.007173122218344004%2C0.007280182543276683%2C0.007514970049319321%2C0.0076770704666343685%2C0.007874478994968776%2C0.008101987346892575%2C0.008374298745398108%2C0.0086142331145602%2C0.00884184718081016%2C0.008999996912947313%2C0.009237434604409641%2C0.009576686389449158%2C0.009721010950081294%2C0.009939746420719223%2C0.010187504674730037%2C0.010428547039395705%2C0.010793668706489026%2C0.011223158496947175%2C0.011462817525627078%2C0.01198049987715247%2C0.012777039905914436%2C0.013434062584571728%2C0.014192992533990752%2C0.015302297022760345%2C0.016437685102539488%2C0.01871225271148263%2C0.021909258705095067%2C0.025326764351715485%2C0.03129006960116437%5D%2C%22label%22%3A%22Sars-CoV-2+Weekly+10B%22%2C%22cost%22%3A%22%24820%2C000%22%7D%2C%7B%22percentile_outcomes%22%3A%5B0.00001743487204830763%2C0.00010688932405752227%2C0.0001663681356250754%2C0.00022123983410330707%2C0.00024694464240081394%2C0.00028884815809747047%2C0.00032689842517020254%2C0.00035687737835187746%2C0.000389667832773277%2C0.0004189845465910958%2C0.0004470584737128702%2C0.0004806738375142055%2C0.0004986248023233481%2C0.0005256577481741179%2C0.0005483726698277355%2C0.00056551124828139%2C0.0006025920443414292%2C0.0006245653582654201%2C0.0006583107546139584%2C0.0006850269893037945%2C0.0007135599598022167%2C0.0007444168073241564%2C0.0007924970355380766%2C0.0008140715547606594%2C0.0008412034619546937%2C0.0008667266815467672%2C0.0008852501607847848%2C0.0009176990879969912%2C0.000953369542707264%2C0.0009997764982435536%2C0.0010284273332747697%2C0.0010789359432075284%2C0.0011239529475009493%2C0.0011488205037801628%2C0.0011690586760191466%2C0.001201936019297888%2C0.0012347397303441561%2C0.0012713723546078056%2C0.0013153731139574107%2C0.0013533014159410688%2C0.0013811286115425188%2C0.0014089454906100875%2C0.0014357334987412566%2C0.00145411218644352%2C0.0014749985568934072%2C0.0015020285946854934%2C0.0015278498182468548%2C0.0015550759125585413%2C0.0015947238655996839%2C0.0016545295153036197%2C0.0016932716441840044%2C0.001761236771912779%2C0.0018105298115249776%2C0.0018768107603398148%2C0.0018971034769961642%2C0.0019490327189580093%2C0.0020019141664942763%2C0.0020428784595439044%2C0.002076799376497073%2C0.0021416248152355236%2C0.002197031325613348%2C0.0022649589436599827%2C0.0023066424557648484%2C0.0023662055405575992%2C0.002457966268762358%2C0.0025374121607409034%2C0.002613017712878243%2C0.002689147460153434%2C0.0027309470287936056%2C0.0028245382878056436%2C0.0029127665488701917%2C0.002999190215906366%2C0.003092512439327132%2C0.0031569767021443437%2C0.0032401724585571536%2C0.0033408805332214775%2C0.0034197665756665377%2C0.0035330703696677115%2C0.003644200399070721%2C0.003771308948627312%2C0.0038663557262921602%2C0.004087148519136372%2C0.004194366849282196%2C0.004288469266136038%2C0.004349522889212943%2C0.004475191893143168%2C0.004600019543784398%2C0.004662488245381617%2C0.004841142259797015%2C0.00500219180837363%2C0.00519592738378647%2C0.005382029304705768%2C0.005539312074675934%2C0.006101939630121838%2C0.006474996363017205%2C0.0068774165699407395%2C0.007863563705443187%2C0.008250123848309528%2C0.009840219246018128%2C0.010359790426215093%5D%2C%22label%22%3A%22Sars-CoV-2+Weekly+25B%22%2C%22cost%22%3A%22%241%2C100%2C000%22%7D%5D
- https://doi.org/10.1101/2023.12.22.23300450
- https://github.com/HadrienG/InSilicoSeq
- https://jasonrothman.weebly.com