Eukaryotic mRNA Analysis (ine chirevo)
Kubva pane inozivikanwa genome kutevedzana uye ruzivo rweanoti, chizvarwa chitsva chepamusoro throughput sequencing (RNA-Seq) data rinoshandiswa sekuisa, uye nzvimbo nyowani dzekunyora (itsva gene) uye zviitiko zvitsva zvekusiyanisa zvinoonekwa.kutevedza data yemhando yekuongorora;kuteedzera data uye kutevedzana kurongeka kweiyo yakasarudzwa referensi genome, kuzivisa miganhu yeexon / intron, kuongorora iyo gene mutsauko splicing, kuongorora matunhu ejini uye zvinyorwa zvitsva, kuzivisa nzvimbo dzeSNP dzedunhu rakanyorwa, muganhu pakati pe3'uye 5. ' majini, uye iyo inoshanda annotation uye kuvandudza ongororo yemasampuli akasiyana (mapoka).
Yakareba isiri-coding RNAs
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.Yakakwira-kuburikidza kutevedzanisa matekinoroji uye bioinformatic yekuongorora maturusi anotipa simba rekuburitsa lncRNA kutevedzana uye yekumisikidza ruzivo zvakanyanya uye zvinotitungamira kuti tiwane lncRNAs ane akakosha ekutonga mabasa.BMKCloud inodada nekupa vatengi vedu lncRNA sequencing yekuongorora chikuva kuti iwane nekukurumidza, yakavimbika uye inoshanduka lncRNA kuongororwa.
16S/18S/ITS amplicon sequencing
Microbial diversity yekuongorora chikuva inogadzirwa iine makore eruzivo mukuongororwa kweprojekiti yakasiyana-siyana, iyo ine yakajairwa ongororo yekuongorora uye kuongororwa kwemunhu: ongororo yekutanga inovhara iyo huru yekuongorora yezvino hutachiona tsvakiridzo, iyo yekuongorora yemukati yakapfuma uye yakazara, uye ongororo mhinduro dzinounzwa. muchimiro chemishumo yeprojekiti;Izvo zvemukati ongororo yemunhu zvakasiyana.Masamples anogona kusarudzwa uye ma paramita anogona kusetwa achichinjika zvinoenderana neiyo yekutanga ongororo rondedzero uye chinangwa chekutsvagisa, kuti uwane zvinodiwa nemunhu.Windows operating system, iri nyore uye inokurumidza.
Shotgun Metagenomics (NGS)
Metagenomic data inoshandiswa kuongorora iyo yakasanganiswa genomic zvinhu zvakatorwa kubva kune zvakatipoteredza samples, izvo zvinopa ruzivo rwakadzama pamusoro pemhando dzakasiyana-siyana uye kuwanda, chimiro chehuwandu hwevanhu, hukama hwephylogenetic, kushanda kwemajini, uye correlation network nemamiriro ekunze.
NGS-WGS(Illumina/BGI)
Iyo yakabatanidzwa yekuongorora pombi yakagadziridzwa kune nyanzvi dzekutsvagisa isina yekutanga bioinformatics ruzivo uye inomhanya pane yepamusoro-inoshanda server.Inofambisa kupedzwa nekukurumidza kwemabasa senge data quality control, kutevedzana kurongeka, SNP/InDel/SV kusiyanisa kuona, chirevo, uye mutation gene.
GWAS
Uchishandisa nzira dzakananga dzenhamba, ongororo yeGWAS ine chinangwa chekufumura genome-wide nucleotide musiyano inoenderana ne phenotypic musiyano.Inobata basa rakakosha mukuongorora majini anoshanda ane hukama nehosha dzevanhu dzakaoma uye hunhu hwakaoma muzvirimwa nemhuka.
BSA
Iyo yakabatanidzwa yekuongorora chikuva inopa mushandisi-inoshamwaridzika interface yeyakamisikidzwa uye yakasarudzika siyana ongororo.Ongororo yeBSA inosanganisira kubatanidza vanhu vane hunhu hwakanyanya hwe phenotypic kubva muhuwandu hwekuparadzanisa.Nekuenzanisa mutsauko weloci pakati pemasamples akaiswa, nzira iyi inokurumidza kuzivisa mamorekuru akabatana ane hukama neakananga majini.Inoshandiswa zvakanyanya mukugadzira mepu yezvirimwa nemhuka, chishandiso chakakosha chekucheresa-rubatsiro kubereka uye gene chinzvimbo.
Evolutionary Genetics
Iyo yakasanganiswa yekuongorora mafambiro akagadzirirwa vashandi vekutsvagisa vane hushoma bioinformatics hunyanzvi.Kushandisa BMKGENE ruzivo rwakakura mumapurojekiti ekushanduka kwemajini, chikuva ichi chinomhanya pamasevhisi epamusoro-soro, kuve nechokwadi chekukurumidza uye kwakaringana kuitwa kweongororo yemunhu.Aya anosanganisira mabasa senge phylogenetic miti yekuvaka, yekubatanidza disequilibrium kuongororwa, genetic kusiyana kwekuongorora, yakasarudzika kutsvairwa chitupa, kuongorora kwehukama, hukuru hwechikamu chekuongorora, uye chimiro chehuwandu hwevanhu.
