- ￥1980
- CUSABIO
- CN
- CSB-PA826461
- 2025年09月26日
- ELISA, IHC; ELISA:1:1000-1:5000, IHC:1:25-1:100
- Rabbit
- Human, Mouse, Rat
企业认证
相关产品推荐更多 >
ATP2C1抗体ATP2C1兔多抗抗体SPCA1 antibody抗体ATP2C1 Antibody抗体
￥440
RASA1抗体RASA1一抗抗体Triphosphatase activating protein antibody抗体RASA1 Antibody抗体
￥3900
DBR1抗体DBR1一抗抗体RNA lariat debranching enzyme antibody抗体DBR1 Antibody抗体
￥3900
SPRY2抗体SPRY2兔多抗抗体/抗体SPRY2 Antibody, FITC conjugated抗体
￥880IL23A抗体IL23A兔多抗抗体SGRF antibody抗体IL23A Antibody抗体
￥440
万千商家帮你免费找货
0 人在求购买到急需产品
- 详细信息
- 文献和实验
- 技术资料
- 免疫原：
Synthetic peptide of Human GCG
- 亚型：
IgG
- 形态：
liquid
- 保存条件：
store at -20°C or -80°C.
- 克隆性：
Polyclonal
- 标记物：
Non-conjugated
- 适应物种：
Human, Mouse, Rat
- 保质期：
12
- 抗原来源：
Human
- 目录编号：
N/A
- 级别：
优
- 库存：
99
- 供应商：
武汉华美生物/CUSABIO
- 宿主：
Rabbit
- 应用范围：
ELISA, IHC; ELISA:1:1000-1:5000, IHC:1:25-1:100
- 浓度：
参见官网
- 靶点：
GCG
- 抗体英文名：
GCG Antibody
- 抗体名：
GCG Antibody
- 规格：
100ul / 50ul
GCG|GCG抗体|GCG Antibody|多抗
Uniprot ID：P01275
宿主：Rabbit
反应种属：Human, Mouse, Rat
应用：ELISA, IHC; ELISA:1:1000-1:5000, IHC:1:25-1:100
别名：GCG antibody; Glicentin related polypeptide antibody; glicentin-related polypeptide antibody; GLP-1 antibody; GLP-1(7-36) antibody; GLP-1(7-37) antibody; GLP-2 antibody; GLP1 antibody; GLP1; included antibody; GLP2 antibody; GLP2; included antibody; GLUC_HUMAN antibody; Glucagon antibody; Glucagon like peptide 1 antibody; glucagon-like peptide 1 antibody; Glucagon-like peptide 1; included antibody; Glucagon-like peptide 2 antibody; Glucagon-like peptide 2; included antibody; GRPP antibody; OXM antibody; OXY antibody; preproglucagon antibody
相关咨询：参见官网/联系客服
微信ID: Cusabio01 电话： 027-87939808
详情请登录：www.cusabio.cn
| 华美生物︱YOUR GOOD PARTNER IN BIOLOGY RESEARCH! | |
| 武汉华美生物工程有限公司成立于2007年12月，是一家集科研、生产、销售为一体的生物高新技术企业。并形成了以CUSABIO为品牌的ELISA试剂盒、外泌体提取试剂盒、蛋白、抗体等多种优质产品，远销欧美日德等九十多个国家。 推荐您微信关注华美官方公众号，方便查询产品，同时获取生命科学更新资讯！ |
|
风险提示：丁香通仅作为第三方平台，为商家信息发布提供平台空间。用户咨询产品时请注意保护个人信息及财产安全，合理判断，谨慎选购商品，商家和用户对交易行为负责。对于医疗器械类产品，请先查证核实企业经营资质和医疗器械产品注册证情况。
文献和实验Comparison of sequences can be done in various ways. Biological sequences differ in length and composition. Whereas simple identity is relatively easy to compute, “similarity” must be defined before a computer can start its calculation. A simple
Searches in databases require efficiency and speed. This cannot be achieved by using the same methods as described in the previous chapters on sequence-comparison. It would take much too long to calculate alignment path matrices
Pattern recognition in biological data is difficult to achieve. On the one hand, it is simple trying to find information based on identity of patterns described in a search string. Method 1 and 2 describe such a pattern search for text strings
技术资料暂无技术资料 索取技术资料
