ØNi iriri Giga: Ju awọn ayẹwo 200,000 ti ni ilọsiwaju ni BMK ti o bo awọn iru apẹẹrẹ oniruuru, pẹlu aṣa sẹẹli, àsopọ, omi ara, ati bẹbẹ lọ ati diẹ sii ju awọn iṣẹ akanṣe mRNA-Seq 7,000 ti o ni pipade ti o bo ọpọlọpọ agbegbe iwadii.
ØEto iṣakoso didara to muna: Awọn aaye iṣakoso didara mojuto nipasẹ gbogbo awọn igbesẹ pẹlu igbaradi apẹẹrẹ, igbaradi ile-ikawe, ilana-iṣe ati bioinformatics wa labẹ abojuto sunmọ lati le fi awọn abajade didara ga han.
ØAwọn apoti isura infomesonu lọpọlọpọ ti o wa fun asọye iṣẹ ati awọn ijinlẹ imudara lati mu awọn ibi-afẹde iwadii lọpọlọpọ ṣẹ.
ØAwọn iṣẹ lẹhin-tita: Awọn iṣẹ lẹhin-tita wulo fun awọn oṣu 3 lori ipari iṣẹ akanṣe, pẹlu atẹle awọn iṣẹ akanṣe, iyaworan wahala, awọn abajade Q&A, ati bẹbẹ lọ.
Ile-ikawe | Ilana titele | Data niyanju | Iṣakoso didara |
Poly A idarato | Imọlẹ PE150 | 6 gb | Q30≥85% |
Nucleotides:
Mimo | Òtítọ́ | Iye |
OD260/280≥1.7-2.5 OD260/230≥0.5-2.5Lopin tabi ko si amuaradagba tabi idoti DNA ti o han lori jeli. | Fun awọn ohun ọgbin: RIN≥6.5; Fun awọn ẹranko: RIN≥7; 28S/18S≥1.0; opin tabi ko si igbega ipilẹ. | Konc.≥30 ng/μl;Iwọn didun ≥ 10 μl;Lapapọ ≥ 1.5 μg |
Apa: iwuwo(gbẹ):≥1 g
* Fun àsopọ ti o kere ju miligiramu 5, a ṣeduro lati firanṣẹ fisinu tutunini(ninu nitrogen olomi) ayẹwo àsopọ.
Idaduro sẹẹli:Iwọn sẹẹli = 3×106-1×107
* A ṣeduro lati gbe lysate sẹẹli tio tutunini.Ni ọran ti sẹẹli naa kere ju 5×105, filasi tutunini ninu omi nitrogen ni a ṣe iṣeduro, eyiti o dara julọ fun isediwon micro.
Awọn ayẹwo ẹjẹ:Iwọn didun ≥1 milimita
Microorganism:Iwọn ≥ 1 g
Apoti: tube centifuge 2 milimita (a ko ṣe iṣeduro bankanje Tin)
Ifi aami apẹẹrẹ: Ẹgbẹ+ ṣe ẹda fun apẹẹrẹ A1, A2, A3;B1, B2, B3......
Gbigbe:
Bioinformatics
Eukaryotic mRNA lesese onínọmbà bisesenlo
Bioinformatics
ØAise data didara iṣakoso
ØItọkasi jiini titete
ØTiransikiripiti igbekale igbekale
ØQuantification ikosile
ØOnínọmbà ikosile iyatọ
ØAtọka iṣẹ ati imudara
1.mRNA Data ekunrere ti tẹ
2.Iyatọ ikosile itupale-Volcano Idite
3.KEGG alaye lori DEGs
4.GO classification on DEGs