siglecs-9 和ssiglecs-9的区别

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机构: 电子与信息工程学院
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(Web of Science?)
This paper proposes the method of using bias-free vertical-cavity surface-emitting lasers (VCSELs) for in-circuit monitoring and effects-diagnosis of digital electronic equipment undertaking HPEM susceptibility test. A circuit level model for typical single mode VCSEL and standard I/O buffer information specification model for I/O ports of digital ICs are built to simulate VCSEL's load effects to the digital IC from specific logic families, as well as VCSEL's light output. Simulation results show that VCSELs connected in parallel to IC's I/O ports can be lighted up and its light output can achieve remote status-monitoring of I/O ports' states in real time, while its load effects to the I/O ports are light enough not to deteriorate its signal integrity or disturb the circuit's normal operation. An experiment is performed on commercial mini sized drone to validate this study and demonstrate this method's feasibility and advantages in equipment level HPEM susceptibility test.
status monitor
Effects diagnosis
high-power electromagnetic (HPEM) susceptibility test
electronic equipment
vertical-cavity surface-emitting laser (VCSEL)
(Web of Science?)
Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object instances from a given image collection without any supervision. Previous work has attempted to tackle this problem with vanilla topic models, such as latent Dirichlet allocation (LDA). However, in those methods no prior knowledge for the given image collection is exploited to facilitate object discovery. On the other hand, the topic models used in those methods suffer from the topic coherence issue-some inferred topics do not have clear meaning, which limits the final performance of object discovery. In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore, a novel knowledge-based topic model, called LDA with mixture of Dirichlet trees, is proposed to incorporate the must-links into topic modeling for object discovery. In particular, to better deal with the polysemy phenomenon of visual words, the must-link is re-defined as that one must-link only constrains one or some topic(s) instead of all topics, which leads to significantly improved topic coherence. Moreover, the must-links are built and grouped with respect to specific object classes, thus the must-links in our approach are semantic-specific, which allows to more efficiently exploit discriminative prior knowledge from Web images. Extensive experiments validated the efficiency of our proposed approach on several data sets. It is shown that our method significantly improves topic coherence and outperforms the unsupervised methods for object discovery and localization. In addition, compared with discriminative methods, the naturally existing object classes in the given image collection can be subtly discovered, which makes our approach well suited for realistic applications of unsupervised object discovery.
latent Dirichlet allocation
object localization
topic model
Object discovery
():&94-105
This paper presents a new normalized least mean square (NLMS) algorithm for sparse system identification where the input signal is corrupted by white measurement noise. The proposed algorithm, which is called bias-compensated zero attracting NLMS (BC-ZA-NLMS) algorithm, introduces the bias-compensation vector to get rid of the bias resulting from noisy input and introduces an l1-norm penalty in the cost function of the NLMS algorithm to make full use of the special property of the sparse system. In addition, to address the time variant sparsity, the bias-compensated reweight ZA-NLMS (BC-RZA-NLMS)) algorithm is also proposed, where the l1-norm penalty in the cost function of BC-ZA-NLMS algorithm is replaced by a log-sum function. Owing to the zero attractors in update equation, the proposed algorithms are superior to the conventional NLMS and bias-compensated NLMS (BC-NLMS) algorithms in the application of identifying the sparse system. A transient analysis of the proposed algorithms is also derived, which is able to accurately predict the behaviors of proposed algorithms. In addition, a stability analysis is introduced. Monte Carlo (MC) simulations are conducted to demonstrate the advantage of the proposed algorithms and to validate the theoretical results. & 2017 Elsevier B.V.
Bias compensated
Noisy input
Normalized least mean square
Normalized least mean square algorithms
Performance analysis
Sparse system identification
Special properties
Zero attractor
():&280-284
Many observers using interference imaging spectrometer were plagued by the fringe-like pattern(FP) that occurs for optical wavelengths in red and near-infrared region. It brings us more difficulties in the data processing such as the spectrum calibration, information retrieval, and so on. An adaptive method based on the bi-dimensional empirical mode decomposition was developed to suppress the nonlinear FP in polarization interference imaging spectrometer. The FP and corrected interferogram were separated effectively. Meanwhile, the stripes introduced by CCD mosaic was suppressed. The nonlinear interferogram background removal and the spectrum distortion correction were implemented as well. It provides us an alternative method to adaptively suppress the nonlinear FP without prior experimental data and knowledge. This approach potentially is a powerful tool in the fields of Fourier transform spectroscopy, holographic imaging, optical measurement based on moire fringe, etc. & 2017 Elsevier B.V.
Bi-dimensional empirical mode decompositions
Empirical Mode Decomposition
Fourier transform spectrometers
Fourier transform spectroscopy
Fringe analysis
Interference imaging
Near infrared region
Polarization interferences
Measuring temperature with greater precision at localized small length scales or in a nonperturbative manner is a necessity in widespread applications, such as integrated photonic devices, micro/nano electronics, biology, and medical diagnostics. To this context, use of nanoscale fluorescent temperature probes is regarded as the most promising method for temperature sensing because they are noninvasive, accurate, and enable remote micro/nanoscale imaging. Here, we propose a novel ratiometric fluorescent sensor for nanothermometry using carbon nanodots (C-dots). The C-dots were synthesized by one-step method using femtosecond laser ablation and exhibit unique multi-emission property due to emissions from abundant functional groups on its surface. The as-prepared C-dots demonstrate excellent ratiometric temperature sensing under single wavelength excitation that achieves high temperature sensitivity with a 1.48% change per &C ratiometric response over wide-ranging temperature (5&85 &C) in aqueous buffer. The ratiometric sensor shows excellent reversibility and stability, holding great promise for the accurate measurement of temperature in many practical applications. & 2017 Elsevier B.V.
Carbon nanodots
High temperature sensitivity
Integrated photonic devices
Nanothermometry
Ratiometric fluorescent sensors
Ratiometric sensors
Ratiometric temperature
Single wavelength excitation
2018,&52():&130-137
A novel BCP (2,9-dimethyl-4,7-diphenyl-1,10-phenan throline) - MAPbI3-xClxcomposite light absorption film was fabricated to enhance the performance of perovskite solar cell (PSC). Compared with the device without BCP in MAPbI3-xClxlayer, the charge separation and transport and the quality of MAPbI3-xClxfilm improved with the addition of BCP. The power conversion efficiency (PCE) increased from 10.69% to 16.25% with an optimized ratio of BCP additive. A reduced J-V hysteresis was simultaneously exhibited by the perovskite solar cell with a planer structure of FTO/TiO2/perovskite film/Spiro-OMETAD/Ag. These enhanced performances are owing to smoother surface coverage, smaller series resistance and stronger charge separation, as BCP is used as additive. This work provides a new method to modify and improve the performance of planer perovskite solar cells. & 2017 Elsevier B.V.
Charge separations
MAPbI3-xClx
Power conversion efficiencies
Series resistances
Surface coverages
随着社会经济的不断发展与进步,人们对能源的需求越来越高,保证供电的安全性、可靠性及稳定性是非常重要的。电网智能化已经成为世界电力行业的未来发展方向,智能电网的核心目标之一就是建设智能变电站。智能变电站主要利用智能设备以及智能网络对全站进行在线监控,真正起到自动控制的作用,以便更好地保证电网的安全运行,这对整个电力系统来说是至关重要的。
为了实现智能变电站的建设,变电站智能化设计是很重要的。研究智能变电站的相关理论,体现智能变电站的&先进、可靠、集成、低碳、环保&等特点,是优化智能变电站设计方案的根本依据。
本文通过对智能变电站技术的分析与研究,结合宁夏甘露330kV智能变电站的实际情况,首先对一次设备智能化的构成特点进行了分析,并提出了330kV智能变电站一次设备的选型方案;其次对自动化系统网络化的构成特点及发展进行了分析,并提出了330kV智能变电站自动化系统的配置方案;最后根据调试的实际情况,得到了一个既符合技术要求又具有工程应用的智能变电站设计方案,并解决在调试工作中存在的问题,为今后智能变电站工程的实施提供了重要参考和借鉴价值。
智能变电站
网络新闻媒体影响范围广泛、信息传播速度快,是人们获取信息的重要渠道。网络新闻用户不仅可以通过阅读新闻报道内容获取信息,而且可以发表网络新闻评论或与其他用户进行交流分享信息。并且网络新闻用户发表网络新闻评论能反映其评论行为特征和行为习惯。研究网络新闻媒体的新闻报道内容和新闻评论内容以及用户的评论行为特征,不仅能够在网络营销及改善用户体验等方面提供帮助,而且能够为突发公共事件的处理决策提供必要的支持。网络新闻媒体内容已经成为了研究的热点。然而,目前仍缺乏对网络新闻媒体包含的网络新闻用户评论行为、新闻报道内容以及新闻评论内容全面的分析与建模。本文以网络新闻报道与网络新闻评论为对象,从网络新闻用户行为评论行为机制、网络新闻报道流行度预测方法以及网络新闻评论主题词传播预测模型等三个方面开展研究,论文主要贡献如下:
1)网络新闻用户评论行为机制:研究了群体层面网络新闻用户评论行为的时间间隔分布、爆发特性以及记忆效应;从增量时间间隔角度讨论了网络新闻用户评论行为的记忆效应,并提出了一种基于增量时间间隔的网络新闻用户评论行为模型。真实数据集上的实验结果验证了该模型的合理性,发现网络新闻用户评论增量时间间隔分布具有对称性,在不同的持续时间内网络新闻用户评论增量时间间隔分布具有相似性。同时,仿真结果表明提出的网络新闻用户评论行为模型能够较好地描述群体层面上网络新闻用户评论行为表现出的幂律特性。
2)网络新闻报道流行度预测方法:分析了网络新闻报道表面特征与其流行度之间的关联性;结合网络新闻评论内容,构建了已发布的网络新闻报道模型,提取词语的话题分布;并利用已发布的网络新闻报道内容与词语的话题分布对即将发布的网络新闻报道进行建模;真实数据集上的实验结果表明提出的网络新闻报道流行度预测方法具有较好的预测能力,并且发现网络新闻评论有助于分析挖掘与流行度相关的网络新闻报道的关键内容,改善网络新闻报道流行度的预测效果。
3)网络新闻评论主题词传播预测模型:利用中文语法结构提取网络新闻评论主题词,构建网络新闻评论主题词动态网络;在网络新闻评论主题词动态网络中,节点表示网络新闻评论主题词,边表示网络新闻评论主题词之间的因果关系;网络新闻评论主题词之间的动态关系反映了其生命周期;从网络新闻评论主题词关系衰减、网络新闻评论主题词关联性影响以及网络新闻评论主题词关系变化趋势反馈等三方面构建了网络新闻评论主题词传播预测模型。真实的网络新闻评论数据集的实验结果表明,提出的基于网络新闻评论主题词动态网络的传播预测模型能够有效地预测新闻评论主题词在传播过程中的的消亡,并发现网络新闻评论主题词关系衰减是影响主题词传播的主要因素。
网络新闻报道
网络新闻评论
流行度预测
发帖评论行为
铁酸铋(BiFeO3,BFO)是目前唯一在室温下铁电性和反铁磁性共存的多铁性材料,在自旋电子学、铁电记忆器件及磁电存储器件等方面具有广泛的应用前景。其中,BFO薄膜易于和半导体工艺技术结合,最有可能实现实际应用,因而成为BFO研究领域中的热点。然而,BFO薄膜研究中依然存在一些关键的科学难题,如漏电流密度大、饱和极化值低、漏导机制和反常铁电光伏效应起源不明等问题,极大地限制了BFO薄膜在室温下的实际应用。因此,研究离子掺杂BFO薄膜的铁电性能、漏导机制和反常铁电光伏效应具有重要的价值和意义。
本文采用溶胶-凝胶旋涂工艺制备出纯相BFO薄膜,通过对A位(Bi位)或B位(Fe位)离子掺杂制备了十余种离子掺杂(如A位的Ca、Dy、Er等离子,B位的Mn、Ni、Zr等离子)的BFO薄膜。采用XRD、Raman、SEM、XPS等方法确定其相组成、微观形貌和掺杂离子价态,另外系统地研究了离子掺杂BFO薄膜的电学性能和光学性能,分析了离子掺杂后BFO薄膜铁电性能提高的原因、漏导产生机制、反常铁电光伏效应和类二极管效应产生的机制。
结果表明,离子掺杂的BFO薄膜保持了父相BFO的钙钛矿结构,但其漏导性能和铁电性能均得到改善。其中,单掺杂体系中B位Mn掺杂BFO薄膜(BiFe1-xMnxO3, BFMx)综合电性能最好,相比于纯BFO薄膜,其漏电流密度下降了2-4个数量级,饱和铁电极化值提升了4-6倍。当Mn掺杂浓度为7.5%时,薄膜的饱和极化值最高达到39 &C/cm2。其性能提高的主要原因为:Mn掺杂使BFO薄膜由三方相向四方相发生部分相变,中间相的产生有利于增大薄膜的饱和极化值;同时Mn掺杂促进了BFO薄膜晶粒的长大,更大的晶粒尺寸有利于减少晶界处的缺陷态密度;高价Mn4+离子的存在可以抑制氧空位的产生,从而降低薄膜的漏电流密度。另外,Mn掺杂会改变BFO薄膜的漏导机制,纯BFO薄膜和BFM0.05薄膜的漏导机制表现为空间电荷限制电导模型(SCLC),BFM0.075薄膜的漏导机制为Poole-Frenkel发射模型(PF),BFM0.10薄膜的漏导机制为纯电阻行为。
在BFM0.075薄膜基础上,对A位Sm离子掺杂制备Bi1-xSmxFe0.925Mn0.075O3(BSFMx)薄膜,其铁电性能比纯BFO薄膜提升了10-12倍,比BFM薄膜提升了1.5-2倍。当Sm掺杂浓度为5%时,薄膜的铁电饱和极化值最高达到73 &C/cm2。其性能提高的主要原因为:Sm掺杂使BFM0.075薄膜由三方相进一步向四方相变化,同时使cc/ac值增大,导致薄膜晶格的非对称畸变增大,有利于饱和极化值的提升;Sm掺杂让薄膜晶粒出现融合现象,有利于减少晶界处的缺陷态密度;非挥发性的Sm可以结合更多的氧,抑制氧缺陷的产生,使Urbach能级靠近导带,从而提高铁电性能。而过量的Sm掺杂(10%含量)会使&钉扎&效应增强,反而抑制铁电极化的反转,降低BSFM薄膜的铁电性能。
最后,本文还测试分析了单离子掺杂BFO薄膜光伏效应(包括开路电压VOC和短路电流密度JSC),结合其电学性能研究其反常铁电光伏效应的产生机制,结果表明:当掺杂离子使BFO薄膜的极化性能明显增强时,反常铁电光伏效应主要由体光伏效应主导产生;当掺杂离子未明显提高BFO薄膜的极化性能时,其反常铁电光伏效应由肖特基势垒或由肖特基势垒和体光伏效应共同产生。另外,Ni掺杂的 BFO薄膜表现出了明显的类二极管行为,极化偏置预处理实验结果表明:极化偏置使薄膜内部氧空位和缺陷态重新非对称分布,使本征对称的肖特基势垒不再对称,从而导致类二极管效应的产生。
反常铁电光伏效应
对于一些闯入我国领海范围内的舰船平台目标进行有效、准确的身份判别,以采取适当的应对措施,对于维护我国领海主权有着重要的意义。为此,应用电子监测卫星和成像监测卫星获取舰船相关信息,如果单独利用这两种卫星中的任意一种卫星的监测数据信息对舰船进行识别,都具有一定的局限性,所以融合这两种数据信息,识别出舰船类型,是一项值得研究的内容。
本文围绕融合电子监测卫星和成像监测卫星监测到的电磁特征数据和成像特征数据识别出舰船平台展开研究,进行了以下几个方面的工作。首先基于本文的实际需求,针对D-S证据理论算法的缺点&&当其融合的证据之间的冲突程度很大时会产生错误结果,对算法做了改进,本文的改进算法应用了灰关联度理论,用灰关联度来衡量各证据之间的支持程度,进而赋予证据不同的权重,对证据进行了加权修正,改进的算法能够解决原本算法的缺点并适应本文的要求;其次确定了D-S证据理论融合电磁特征数据和成像特征数据识别舰船平台目标具体框架和方法,基于本文的数据特征,详细的介绍了利用模糊数学的相关知识构造BPA的具体方法,并给出了分为两个阶段融合识别舰船平台目标的方法;最后根据实际的需要,结合理论和一些软件工程知识,设计并实现了识别系统。
本文对D-S证据理论做了算法上的改进,对比经典的六种改进方法,可以看出本文改进算法收敛速度快,性能良好。利用本文改进的算法实现的舰船目标识别系统,经过测试,系统能够在大部分情况正确的识别出舰船类型。
D-S证据理论
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邮编:710049Protein knowledgebaseSequence archiveHelp pages, FAQs, UniProtKB manual, documents, news archive and Biocuration projects.Sequence clustersProtein sets from fully sequenced genomesAnnotation systemsSystems used to automatically annotate proteins with high accuracy:Supporting dataSelect one of the options below to target your search:You are using a version of browser that may not display all the features of this website. Please consider upgrading . Sialic acid-binding Ig-like lectin 9SIGLEC9Homo sapiens (Human)-Annotation score: Annotation score: 5 out of 5-Experimental evidence at protein leveliFunctioniPutative adhesion molecule that mediates sialic-acid dependent binding to cells. Preferentially binds to alpha-2,3- or alpha-2,6-linked sialic acid. The sialic acid recognition site may be masked by cis interactions with sialic acids on the same cell surface.SitesFeature keyPosition(s)DescriptionActionsGraphical viewLengthBinding siteiSialic acid1GO - Molecular functioniNon-traceable author statementiGO - Biological processiNon-traceable author statementiKeywordsiBiological processLigandEnzyme and pathway databasesReactomei Immunoregulatory interactions between a Lymphoid and a non-Lymphoid cell.
Neutrophil degranulation. Names & TaxonomyiProtein namesiRecommended name:Sialic acid-binding Ig-like lectin 9Short name: Siglec-9Alternative name(s):CDw329Protein FOAP-9CD_antigen: CD329Gene namesiName:ORF Names:UNQ668/PRO1302OrganismiTaxonomic identifieri
[]Taxonomic lineagei >
Proteomesi Componenti: Chromosome 19 Organism-specific databasesEuPathDBi HGNCi SIGLEC9. Subcellular locationi
Extracellular region or secreted
Plasma membrane
Cytoskeleton
Peroxisome
Golgi apparatus
Mitochondrion
Manual annotation
Automatic computational assertionGraphics by Christian S Source: TopologyFeature keyPosition(s)DescriptionActionsGraphical viewLengthTopological domainiExtracellular 331TransmembraneiHelical 21Topological domainiCytoplasmic 94Keywords - Cellular componentiPathology & BiotechiMutagenesisOrganism-specific databasesDisGeNETi OpenTargetsi PharmGKBi Polymorphism and mutation databasesBioMutai DMDMi PTM / ProcessingiMolecule processingFeature keyPosition(s)DescriptionActionsGraphical viewLengthSignal peptidei 17ChainiPRO_Sialic acid-binding Ig-like lectin 9 446Amino acid modificationsFeature keyPosition(s)DescriptionActionsGraphical viewLengthDisulfide bondiManual assertion according to rulesiDisulfide bondiManual assertion according to rulesiGlycosylationiN-linked (GlcNAc...) asparagine1GlycosylationiN-linked (GlcNAc...) asparagine1GlycosylationiN-linked (GlcNAc...) asparagine1Disulfide bondiManual assertion according to rulesiGlycosylationiN-linked (GlcNAc...) asparagine1GlycosylationiN-linked (GlcNAc...) asparagine1GlycosylationiN-linked (GlcNAc...) asparagine1GlycosylationiN-linked (GlcNAc...) asparagine1Disulfide bondiManual assertion according to rulesiGlycosylationiN-linked (GlcNAc...) asparagine1Keywords - PTMi, Proteomic databasesEPDi PaxDbi PeptideAtlasi PRIDEi PTM databasesiPTMneti PhosphoSitePlusi ExpressioniTissue specificityiExpressed by peripheral blood leukocytes (neutrophils and monocytes but not eosinophils). Found in liver, fetal liver, bone marrow, placenta, spleen and in lower levels in skeletal muscle, fetal brain, stomach, lung, thymus, prostate, brain, mammary, adrenal gland, colon, trachea, cerebellum, testis, small intestine and spinal cordon.Gene expression databasesBgeei CleanExi ExpressionAtlasi baseline and differential. Genevisiblei HS. Organism-specific databasesHPAi InteractioniProtein-protein interaction databasesBioGridi 2 interactors.IntActi 1 interactor.STRINGi Structurei3D structure databasesProteinModelPortali SMRi ModBaseiMobiDBiFamily & DomainsiDomains and RepeatsFeature keyPosition(s)DescriptionActionsGraphical viewLengthDomainiIg-like V-type 121DomainiIg-like C2-type 1 84DomainiIg-like C2-type 2 101MotifFeature keyPosition(s)DescriptionActionsGraphical viewLengthMotifiITIM motif6MotifiSLAM-like motif6DomainiContains 1 . . s.Sequence similaritiesiBelongs to the . .Keywords - Domaini, , , , Phylogenomic databaseseggNOGi Eukaryota.
LUCA. GeneTreei HOGENOMi HOVERGENi InParanoidi KOi OMAi OrthoDBi PhylomeDBi Family and domain databasesGene3Di 3 hits. InterProi Ig-like_dom.
Ig-like_dom_sf.
Ig-like_fold.
Ig_V-set. Pfami V-set. 1 hit. SMARTi IG. 3 hits. SUPFAMi SSF48726. 3 hits. PROSITEi IG_LIKE. 3 hits. Sequences (2)iSequence statusi: Complete.Sequence processingi: The displayed sequence is further processed into a mature form.This entry describes 2 isoformsi produced by alternative splicing.
(identifier: Q9Y336-1)
[]This isoform has been chosen as the 'canonical' sequence. All positional information in this entry refers to it. This is also the sequence that appears in the downloadable versions of the entry.
50MLLLLLPLLW GRERAEGQTS KLLTMQSSVT VQEGLCVHVP CSFSYPSHGW
100IYPGPVVHGY WFREGANTDQ DAPVATNNPA RAVWEETRDR FHLLGDPHTK
150NCTLSIRDAR RSDAGRYFFR MEKGSIKWNY KHHRLSVNVT ALTHRPNILI
200PGTLESGCPQ NLTCSVPWAC EQGTPPMISW IGTSVSPLDP STTRSSVLTL
250IPQPQDHGTS LTCQVTFPGA SVTTNKTVHL NVSYPPQNLT MTVFQGDGTV
300STVLGNGSSL SLPEGQSLRL VCAVDAVDSN PPARLSLSWR GLTLCPSQPS
350NPGVLELPWV HLRDAAEFTC RAQNPLGSQQ VYLNVSLQSK ATSGVTQGVV
400GGAGATALVF LSFCVIFVVV RSCRKKSARP AAGVGDTGIE DANAVRGSAS
450QGPLTEPWAE DSPPDQPPPA SARSSVGEGE LQYASLSFQM VKPWDSRGQE
460 ATDTEYSEIK IHR
46350,082May 1, 2000 - v2Checksum:i807BDCE0D18191F2BLASTProtParamProtScaleCompute pI/MWPeptideMassPeptideCutter (identifier: Q9Y336-2)
[]The sequence of this isoform differs from the canonical sequence as follows:
: GPLTEPWAED...TEYSEIKIHR → ILNHFIGFPT...FHWFFLICVG>>47952,492Checksum:iBA36ABD3025CFC13BLASTProtParamProtScaleCompute pI/MWPeptideMassPeptideCutterExperimental InfoFeature keyPosition(s)DescriptionActionsGraphical viewLengthSequence conflictiR → H in
(PubMed:).1Natural variantFeature keyPosition(s)DescriptionActionsGraphical viewLengthNatural variantiVAR_014254Manual assertion based on experiment ini"The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC)."
[] [] []Cited for: NUCLEOTIDE SEQUENCE [LARGE SCALE MRNA], VARIANTS GLU-100 AND GLU-315.Corresponds to variant .1Natural variantiVAR_014255. Corresponds to variant .1Natural variantiVAR_033621. Corresponds to variant .1Natural variantiVAR_014256. Corresponds to variant .1Natural variantiVAR_014257Manual assertion based on experiment ini"Molecular cloning of a novel gene, FOAP-9, which are induced by oxydized LDL in human macrophages.", , , , , , , , Submitted (APR-1999) to the EMBL/GenBank/DDBJ databasesCited for: NUCLEOTIDE SEQUENCE [MRNA] (ISOFORM 1), VARIANT GLU-315."The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC)."
[] [] []Cited for: NUCLEOTIDE SEQUENCE [LARGE SCALE MRNA], VARIANTS GLU-100 AND GLU-315.Corresponds to variant .1Natural variantiVAR_014258. Corresponds to variant .1Natural variantiVAR_033622. Corresponds to variant .1Alternative sequenceFeature keyPosition(s)DescriptionActionsGraphical viewLengthAlternative sequenceiVSP_054106GPLTE…IKIHR → ILNHFIGFPTFLGLGFEFLL NLRDLCCHPDSEFYVYHFSH FRLIKNIAGEIVWSLEGKIL WLLDVSDFFHWFFLICVG in isoform . Manual assertion based on opinion ini"Complete sequencing and characterization of 21,243 full-length human cDNAs.", , , , , , , , , , , , , , , , ,
[] [] []Cited for: NUCLEOTIDE SEQUENCE [LARGE SCALE MRNA] (ISOFORM 2). 62Sequence databasesSelect the link destinations:EMBLiGenBankiDDBJi Genomic DNA. Translation: . mRNA. Translation: . mRNA. Translation: . mRNA. Translation: . mRNA. Translation: . mRNA. Translation: . Genomic DNA. Translation: . mRNA. Translation: .CCDSi
[]UniGenei Genome annotation databasesEnsembli; ; .
[]GeneIDi KEGGi UCSCi human.
[]Keywords - Coding sequence diversityi, Similar proteinsi Genomic DNA. Translation: . mRNA. Translation: . mRNA. Translation: . mRNA. Translation: . mRNA. Translation: . mRNA. Translation: . Genomic DNA. Translation: . mRNA. Translation: .CCDSi
[]UniGenei 3D structure databasesProteinModelPortali SMRi ModBaseiMobiDBiProtein-protein interaction databasesBioGridi 2 interactors.IntActi 1 interactor.STRINGi PTM databasesiPTMneti PhosphoSitePlusi Polymorphism and mutation databasesBioMutai DMDMi Proteomic databasesEPDi PaxDbi PeptideAtlasi PRIDEi Protocols and materials databasesDNASUi Structural Biology KnowledgebaseGenome annotation databasesEnsembli; ; .
[]GeneIDi KEGGi UCSCi human.
[]Organism-specific databasesCTDi DisGeNETi EuPathDBi GeneCardsi HGNCi SIGLEC9. HPAi MIMi gene. neXtProti OpenTargetsi PharmGKBi GenAtlasiPhylogenomic databaseseggNOGi Eukaryota.
LUCA. GeneTreei HOGENOMi HOVERGENi InParanoidi KOi OMAi OrthoDBi PhylomeDBi Enzyme and pathway databasesReactomei Immunoregulatory interactions between a Lymphoid and a non-Lymphoid cell.
Neutrophil degranulation. Miscellaneous databasesGeneWikii GenomeRNAii PROi SOURCEiGene expression databasesBgeei CleanExi ExpressionAtlasi baseline and differential. Genevisiblei HS. Family and domain databasesGene3Di 3 hits. InterProi Ig-like_dom.
Ig-like_dom_sf.
Ig-like_fold.
Ig_V-set. Pfami V-set. 1 hit. SMARTi IG. 3 hits. SUPFAMi SSF48726. 3 hits. PROSITEi IG_LIKE. 3 hits. ProtoNetiMiscellaneousiKeywords - Technical termi, Documents
Human chromosome 19: entries, gene names and cross-references to MIM
List of human entries with polymorphisms or disease mutations
Index of human polymorphisms and disease mutations
Online Mendelian Inheritance in Man (MIM) cross-references in UniProtKB/Swiss-Prot
Index of protein domains and families

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