Expression Atlas update--a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments.
Expression Atlas update--a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments.
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DOI：
10.1093/nar/gkt1270
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发表时间：
2014-01
影响因子：
14.9
通讯作者：
Brazma A
中科院分区：
文献类型：
--
作者：
Petryszak R;Burdett T;Fiorelli B;Fonseca NA;Gonzalez-Porta M;Hastings E;Huber W;Jupp S;Keays M;Kryvych N;McMurry J;Marioni JC;Malone J;Megy K;Rustici G;Tang AY;Taubert J;Williams E;Mannion O;Parkinson HE;Brazma A
表达地图集（http://www.ebi.ac.uk/gxa）是一个增值数据库，可提供有关不同细胞类型，生物零件，发育阶段，疾病，疾病以及其他生物学和实验性和实验性的基因，蛋白质和剪接变异表达的信息条件。使用标准化的微阵列和RNA序列分析方法。从实验意图的深入策划中，导致生物学上有意义的“对比”，即在两个之间进行不同成对比较的实例生物学重复集。旨在最大化提供给用户的生物价值的界面。
Expression Atlas (http://www.ebi.ac.uk/gxa) is a value-added database providing information about gene, protein and splice variant expression in different cell types, organism parts, developmental stages, diseases and other biological and experimental conditions. The database consists of selected high-quality microarray and RNA-sequencing experiments from ArrayExpress that have been manually curated, annotated with Experimental Factor Ontology terms and processed using standardized microarray and RNA-sequencing analysis methods. The new version of Expression Atlas introduces the concept of ‘baseline’ expression, i.e. gene and splice variant abundance levels in healthy or untreated conditions, such as tissues or cell types. Differential gene expression data benefit from an in-depth curation of experimental intent, resulting in biologically meaningful ‘contrasts’, i.e. instances of differential pairwise comparisons between two sets of biological replicates. Other novel aspects of Expression Atlas are its strict quality control of raw experimental data, up-to-date RNA-sequencing analysis methods, expression data at the level of gene sets, as well as genes and a more powerful search interface designed to maximize the biological value provided to the user.
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影响因子：
14.9
作者：
Kozomara A;Griffiths-Jones S
通讯作者：
Griffiths-Jones S
影响因子：
14.9
作者：
Rustici G;Kolesnikov N;Brandizi M;Burdett T;Dylag M;Emam I;Farne A;Hastings E;Ison J;Keays M;Kurbatova N;Malone J;Mani R;Mupo A;Pedro Pereira R;Pilicheva E;Rung J;Sharma A;Tang YA;Ternent T;Tikhonov A;Welter D;Williams E;Brazma A;Parkinson H;Sarkans U
通讯作者：
Sarkans U
影响因子：
14.9
作者：
Vizcaíno JA;Côté RG;Csordas A;Dianes JA;Fabregat A;Foster JM;Griss J;Alpi E;Birim M;Contell J;O'Kelly G;Schoenegger A;Ovelleiro D;Pérez-Riverol Y;Reisinger F;Ríos D;Wang R;Hermjakob H
通讯作者：
Hermjakob H
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A
DOI：
10.1093/bioinformatics/btq099
发表时间：
2010-04-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Malone J;Holloway E;Adamusiak T;Kapushesky M;Zheng J;Kolesnikov N;Zhukova A;Brazma A;Parkinson H
通讯作者：
Parkinson H