| 1 | 中国对虾杆状病毒基因克隆及探针制备与检测显示文摘从收集的中国对虾(Penaeuschinensis)病虾样品中分离到一种杆状病毒,经负染在电镜下观察,完整病毒粒子大小为110×280~320nm。病毒核酸经EcoRI酶切,克隆到pUC18质粒上,经筛选得到两个克隆L46、M13,克隆片段分别为2.14kb和3.58kb。将这两个基因片段和对虾白斑综合征杆状病毒(WhiteSpotSyndromeBaculovirus,简称WSSV)基因克隆片段A26制备探针,共同用点杂交法对我国沿海地区的病虾样品进行检测,以了解我国沿海地区对虾杆状病毒的分布,并确定中国对虾杆状病毒与WSSV的同源性。 | 石正丽 黄灿华 陈棣华 J.R.Bonami S.Durand | 1998 | 中国病毒学1998，13，3： | 14 |
| 2 | Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS显示文摘GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures.It allows long-term access to datasets following the FAIR principles:Findable,Accessible,Interoperable,and Reusable,by using a flexible and original approach.It is based on a generic and ontology driven data model and an innovative software architecture that uncouples data integration,storage,and querying.It takes advantage of international standards including the Crop Ontology,MIAPPE,and the Breeding API.GnpIS allows handling data for a wide range of species and experiment types,including multiannual perennial plants experimental network or annual plant trials with either raw data,i.e.,direct measures,or computed traits.It also ensures the integration and the interoperability among phenotyping datasets and with genotyping data.This is achieved through a careful curation and annotation of the key resources conducted in close collaboration with the communities providing data.Our repository follows the Open Science data publication principles by ensuring citability of each dataset.Finally,GnpIS compliance with international standards enables its interoperability with other data repositories hence allowing data links between phenotype and other data types.GnpIS can therefore contribute to emerging international federations of information systems. | C.Pommier C.Michotey G.Cornut P.Roumet E.Duchêne R.Flores A.Lebreton M.Alaux S.Durand E.Kimmel T.Letellier G.Merceron M.Laine C.Guerche M.Loaec D.Steinbach M.A.Laporte E.Arnaud H.Quesneville A.F.Adam-Blondon | 2019 | Plant Phenomics2019，1，1： | 6 |
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