Expression Atlas update: gene and protein expression in multiple species.
Expression Atlas update: gene and protein expression in multiple species.
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表达图谱更新:多个物种的基因和蛋白质表达。
DOI:
10.1093/nar/gkab1030
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发表时间:
2022-01-07
影响因子:
14.9
通讯作者:
Papatheodorou I
中科院分区:
文献类型:
--
作者:
Moreno P;Fexova S;George N;Manning JR;Miao Z;Mohammed S;Muñoz-Pomer A;Fullgrabe A;Bi Y;Bush N;Iqbal H;Kumbham U;Solovyev A;Zhao L;Prakash A;García-Seisdedos D;Kundu DJ;Wang S;Walzer M;Clarke L;Osumi-Sutherland D;Tello-Ruiz MK;Kumari S;Ware D;Eliasova J;Arends MJ;Nawijn MC;Meyer K;Burdett T;Marioni J;Teichmann S;Vizcaíno JA;Brazma A;Papatheodorou I
The EMBL-EBI Expression Atlas is an added value knowledge base that enables researchers to answer the question of where (tissue, organism part, developmental stage, cell type) and under which conditions (disease, treatment, gender, etc) a gene or protein of interest is expressed. Expression Atlas brings together data from >4500 expression studies from >65 different species, across different conditions and tissues. It makes these data freely available in an easy to visualise form, after expert curation to accurately represent the intended experimental design, re-analysed via standardised pipelines that rely on open-source community developed tools. Each study's metadata are annotated using ontologies. The data are re-analyzed with the aim of reproducing the original conclusions of the underlying experiments. Expression Atlas is currently divided into Bulk Expression Atlas and Single Cell Expression Atlas. Expression Atlas contains data from differential studies (microarray and bulk RNA-Seq) and baseline studies (bulk RNA-Seq and proteomics), whereas Single Cell Expression Atlas is currently dedicated to Single Cell RNA-Sequencing (scRNA-Seq) studies. The resource has been in continuous development since 2009 and it is available at https://www.ebi.ac.uk/gxa.
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影响因子:
14.9
作者:
Harrison PW;Ahamed A;Aslam R;Alako BTF;Burgin J;Buso N;Courtot M;Fan J;Gupta D;Haseeb M;Holt S;Ibrahim T;Ivanov E;Jayathilaka S;Balavenkataraman Kadhirvelu V;Kumar M;Lopez R;Kay S;Leinonen R;Liu X;O'Cathail C;Pakseresht A;Park Y;Pesant S;Rahman N;Rajan J;Sokolov A;Vijayaraja S;Waheed Z;Zyoud A;Burdett T;Cochrane G
通讯作者:
Cochrane G
影响因子:
14.9
作者:
Arita M;Karsch-Mizrachi I;Cochrane G
通讯作者:
Cochrane G
DOI:
10.1093/bioinformatics/btx192
发表时间:
2017-08-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
da Veiga Leprevost F;Grüning BA;Alves Aflitos S;Röst HL;Uszkoreit J;Barsnes H;Vaudel M;Moreno P;Gatto L;Weber J;Bai M;Jimenez RC;Sachsenberg T;Pfeuffer J;Vera Alvarez R;Griss J;Nesvizhskii AI;Perez-Riverol Y
通讯作者:
Perez-Riverol Y
影响因子:
14.9
作者:
Harrison PW;Lopez R;Rahman N;Allen SG;Aslam R;Buso N;Cummins C;Fathy Y;Felix E;Glont M;Jayathilaka S;Kadam S;Kumar M;Lauer KB;Malhotra G;Mosaku A;Edbali O;Park YM;Parton A;Pearce M;Estrada Pena JF;Rossetto J;Russell C;Selvakumar S;Sitjà XP;Sokolov A;Thorne R;Ventouratou M;Walter P;Yordanova G;Zadissa A;Cochrane G;Blomberg N;Apweiler R
通讯作者:
Apweiler R
影响因子:
14.9
作者:
Papatheodorou, Irene;Moreno, Pablo;Brazma, Alvis
通讯作者:
Brazma, Alvis