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BMKCloud

  • PacBio-Full-length Transcriptome (Non-Reference)

    PacBio-Yakazara-kureba Transcriptome (Isina-Reference)

    Amplicon (16S/18S/ITS) papuratifomu inogadzirwa nemakore eruzivo mukuongororwa kweprojekiti yakasiyana-siyana, iyo ine yakajairwa ongororo yekuongorora uye kuongororwa kwemunhu: ongororo yekutanga inovhara iyo huru yekuongorora zvirimo yezvino hutachiona tsvakurudzo, zvinyorwa zvekuongorora zvakapfuma uye zvakakwana, uye mhedzisiro yekuongorora inoratidzwa muchimiro chemishumo yeprojekiti;Izvo zvemukati ongororo yemunhu zvakasiyana.Masamples anogona kusarudzwa uye ma paramita anogona kusetwa achichinjika zvinoenderana neiyo yekutanga ongororo mushumo uye chinangwa chekutsvagisa, kuti uone zvinodiwa nemunhu.Windows inoshanda sisitimu, iri nyore uye inokurumidza.

  • PacBio-Full-length Transcriptome (Non-Reference)

    PacBio-Yakazara-kureba Transcriptome (Isina-Reference)

    Kutora Pacific Biosciences (PacBio) Isoform yekuteedzera data sekuisa, iyi App inokwanisa kuona yakazara-yakareba zvinyorwa zvinoteedzana (pasina kuungana).Nekuita mepu yakazara-yakareba sequence inopesana nereferenzi genome, zvinyorwa zvinogona kugadziridzwa neanozivikanwa majini, zvinyorwa, coding matunhu, nezvimwe. Muchiitiko ichi, kunyatsozivikanwa kwemRNA zvimiro, seimwe nzira yekutsvedza, nezvimwe, inogona kuwanikwa.Kuongororwa kwakabatana neNGS transcriptome sequencing data inogonesa tsinhiro yakazara uye kunyatsoita kuwanda mukutaura padanho rezvinyorwa, izvo zvinonyanya kubatsira kudzika kwemusiyano kutaura uye ongororo yekushanda.

  • Toolkits

    Toolkits

    BMKCloud inotungamira bioinformatic chikuva inopa imwe-stop mhinduro yezvirongwa zve genomic, iyo inovimbwa zvakanyanya nevatsvakurudzi munzvimbo dzakasiyana siyana dzinosanganisira zvekurapa, zvekurima, zvakatipoteredza, nezvimwe. , zviwanikwa zvekombuta, dhatabhesi yeruzhinji, bioinformatic online makosi, nezvimwe. BMKCloud ine akasiyana anowanzo shandiswa bioinformatic maturusi anosanganisira gene annotation, evolutionary genetic maturusi, ncRNA, data quality control, kusangana, kurongeka, kutorwa kwedata, shanduko, nhamba, jenareta, kutevedzana. kuongorora, nezvimwewo.

  • small RNA

    diki RNA

    Madiki maRNA imhando yepfupi isiri-coding RNA ine avhareji urefu hwe18-30 nt, kusanganisira miRNA, siRNA uye piRNA.Aya maRNA madiki akave akashumwa zvakanyanya kuve akabatanidzwa mune zvakasiyana-siyana zvipenyu zvipenyu zvakaita semRNA degradation, dudziro inhibition, heterochromatin formation, nezvimwewo sequencing yekuongorora chikuva ine yakajairwa ongororo uye advanced data mining.Pahwaro hweRNA-seq data, ongororo yakajairwa inogona kuwana miRNA kuzivikanwa uye kufanotaura, miRNA yakananga gene kufanotaura, rondedzero uye ongororo yekutaura.Kuongorora kwepamberi kunogonesa yakagadziridzwa miRNA yekutsvaga uye kudhirowa, Venn dhayagiramu chizvarwa, miRNA uye inonangwa gene network kuvaka.

  • NGS-WGS (Illumina/BGI)

    NGS-WGS (Illumina/BGI)

    NGS-WGS izere genome re-sequencing yekuongorora chikuva, iyo inogadzirwa pahwaro hwehupfumi ruzivo muBiomarker Technologies.Iyi yekureruka-kushandisa-puratifomu inobvumira kukurumidza kuendesa kweyakasanganiswa yekuongorora mafambiro nekungoisa mashoma ekutanga parameter, inokodzera DNA yekuteedzera data inogadzirwa kubva kune ese Illumina papuratifomu uye BGI yekuteedzera chikuva.Iyi puratifomu inoiswa pane yakakwira performance computing server, iyo inopa simba rakanyanya hunyanzvi rekuongorora data munguva shoma.Yakasarudzika dhata migodhi inowanikwa pahwaro hwekuongororwa kwakajairwa, kusanganisira mutated gene query, PCR primer dhizaini, nezvimwe.

  • mRNA(Reference)

    mRNA(Reference)

    Transcriptome inobatanidza pakati pe genomic genetic information uye proteome ye biological function.Transcriptal level regulation ndiyo inonyanya kukosha uye yakanyanya kudzidzwa zvakanyanya nzira yezvipenyu.Transcriptome sequencing inogona kuteedzera transcriptome chero nguva kana pasi pemamiriro chero api zvawo, ine chigadziro chakarurama kune imwechete nucleotide.Inogona dynamically kuratidza nhanho yekunyorwa kwemajini, panguva imwe chete kuziva uye kuverengera zvisingawanzo uye zvakajairika zvinyorwa, uye kupa ruzivo rwechimiro che sampuli yezvinyorwa zvakananga.

    Parizvino, tekinoroji yekutevedzanisa tekinoroji yakashandiswa zvakanyanya muagronomy, mushonga uye dzimwe nzvimbo dzekutsvagisa, kusanganisira kudzora kwemhuka nezvirimwa, kugadzirisa kwezvakatipoteredza, kupindirana kwezvirwere zvemuviri, kugariswa kwemajini, kushanduka kwemajini uye bundu uye kuona chirwere chemajini.

  • Metagenomics (NGS)

    Metagenomics (NGS)

    Ichi chikuva chekuongorora chakagadzirirwa pfuti metagenomic data kuongororwa pahwaro hwemakore echiitiko.Inosanganisira kufambiswa kwebasa kwakabatana kunosanganisira kwakasiyana-siyana kunowanzo kudiwa metagenomics kuongororwa kunosanganisira kugadzirisa data, zvidzidzo zvemhando-yemhando, gene function-level zvidzidzo, metagenome binning, etc. Mukuwedzera, maturusi ekuchera data akagadziridzwa anowanikwa pane chiyero chekuongorora mafambiro, kusanganisira gene uye mhando yemubvunzo. , parameter kumisikidza, yakasarudzika nhamba inogadzira, nezvimwe.

  • LncRNA

    LncRNA

    Marefu asina kukodha maRNA (lncRNA) imhando yezvinyorwa zvinoreba kupfuura 200 nt, izvo zvisingakwanisi kunyora mapuroteni.Humbowo hwekuwedzera hunoratidza kuti mazhinji elncRNA anogona kunge ari kushanda.Yepamusoro-yepamusoro-yekuteedzera matekinoroji uye bioinformatic yekuongorora maturusi anotipa simba rekuburitsa lncRNA kutevedzana uye kuisa ruzivo rwekumisikidza zvakanyanya uye kutitungamira kuti tiwane lncRNAs ane akakosha ekutonga mabasa.BMKCloud inodada nekupa vatengi vedu lncRNA sequencing yekuongorora chikuva kuti iwane nekukurumidza, yakavimbika uye inoshanduka lncRNA kuongororwa.

  • GWAS

    GWAS

    Genome-wide association study (GWAS) ine chinangwa chekutsvaga mazita akasiyana-siyana (genotype) ane hukama nemaitiro chaiwo (phenotype).Zvidzidzo zveGWA zvinoongorora ma genetic markers anoyambuka genome yenhamba huru yevanhu uye inofanotaura genotype-phenotype kushamwaridzana nekuongorora kwenhamba pahuwandu hwevanhu.Whole-genome resequencing inogona kuwana ese mageneti akasiyana.Kubatana ne data phenotypic, GWAS inogona kugadziriswa kuti ione phenotype ine hukama SNPs, QTLs uye magene genes, ayo anotsigira zvakasimba kubereka kwemazuva ano kwemhuka / zvirimwa.SLAF inzira yakazvimisikidza yakapfava genome sequencing, iyo inowana genome-yakaparadzirwa mamakisi, SNP.Aya maSNP, semamorekuru genetic mamaki, anogona kugadziriswa kuti asanganisire zvidzidzo neakatariswa hunhu.Iri nzira inodhura-inoshanda pakuona hunhu hwakaoma hunoenderana nekusiyana kwemajini.

  • Nanopore Full-length transcriptomics

    Nanopore Yakazara-kureba transcriptomics

    Yakaoma uye yakasiyana-siyana isoforms mune zvipenyu inokosha genetic nzira dzekugadzirisa gene expression uye mapuroteni akasiyana.Kunyatsozivikanwa kwezvimiro zvezvinyorwa ndiyo hwaro hwekudzidza kwakadzama kwemaitiro ekugadzirisa maitiro.Nanopore sequencing chikuva yakabudirira kuunza transcriptomic kudzidza kune isoform-level.Ichi chikuva chekuongorora chakagadzirirwa kuongorora RNA-Seq dhata inogadzirwa paNanopore papuratifomu pahwaro hwereferensi genome, iyo inowana hunhu uye huwandu hwekuongorora mune ese gene nhanho uye zvinyorwa zvinyorwa.

     

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