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云南冰港生物科技 为您提供靠谱的高通量测序数据分析服务

 
 
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[置顶] 冰港生物:全面定制化的生物信息数据服务提供商

2016-7-11 16:48:38 阅读358 评论0 112016/07 July11

        我们致力于为生命科学领域的研究者提供全套生物信息学解决方案,包括生物信息学流程开发(协助软著申请)、算法设计及数据挖掘、系统生物学高通量数据分析、生物学实验设计和可行性分析等生物信息学服务。

作者  | 2016-7-11 16:48:38 | 阅读(358) |评论(0) | 阅读全文>>

Kallisto and Sleuth

2017-2-2 13:05:36 阅读141 评论0 22017/02 Feb2

Transcript-level quantification with Kallisto

Kallisto is an “alignment free” RNA-seq quantification method that runs very fast with a small memory footprint, so that it can be run on most laptops. It is a command-line program that can be downloaded as binary executables for Linux or Mac, or in source code format. For a first insight into the program, read

作者  | 2017-2-2 13:05:36 | 阅读(141) |评论(0) | 阅读全文>>

RNA-seq最新网络课程

2016-12-5 14:26:48 阅读200 评论0 52016/12 Dec5

作者  | 2016-12-5 14:26:48 | 阅读(200) |评论(0) | 阅读全文>>

GigaScience:银杏基因组测序完成

2016-12-5 14:09:40 阅读147 评论0 52016/12 Dec5

作者  | 2016-12-5 14:09:40 | 阅读(147) |评论(0) | 阅读全文>>

Abstract

Accumulating evidence supports the polygenic nature of most complex diseases, suggesting the involvement of many susceptibility genes with small effect sizes. Although hundreds of genes may underlie the genetic architecture of complex diseases, those involved in a given disease are probably not randomly distributed, but likely to be functionally related. Protein-protein interaction networks have been

作者  | 2016-10-24 18:14:34 | 阅读(186) |评论(0) | 阅读全文>>

Kallisto: RNA-seq数据快速量化软件(Manual)

2016-9-30 16:18:23 阅读453 评论0 302016/09 Sept30

    2016年4月4日,NBT杂志上发表了一篇题为“Near-optimal probabilistic RNA-seq quantification”的论文。数据量化软件 Kallisto成为了该文的主要亮点。Kallisto

作者  | 2016-9-30 16:18:23 | 阅读(453) |评论(0) | 阅读全文>>

TRECASE_MLE is a command-line program written in C/C++ for eQTL mapping with RNA-seq data. TRECASE_MLE implemented the following steps in the five-step pipeline: (step 1) testing every local SNP for association with the expression of a gene and reporting the SNP with the minimum p-value (referred to as the minimum-p SNP) for each gene; (

作者  | 2016-8-2 9:48:53 | 阅读(283) |评论(0) | 阅读全文>>

PacBio数据分析工具包SMRT Analysis安装

2016-3-15 17:29:26 阅读656 评论0 152016/03 Mar15

    PacBio的三代测序技术,其核心的竞争力就是:

作者  | 2016-3-15 17:29:26 | 阅读(656) |评论(0) | 阅读全文>>

Ebook:Marker-Assisted Plant Breeding: Principles and Practices

2016-2-22 9:34:58 阅读392 评论0 222016/02 Feb22

Marker-assisted plant breeding involves the application of molecular marker techniques and statistical and bioinformatics tools to achieve plant breeding objectives in a cost-effective and time-efficient manner. This book is intended for beginners

作者  | 2016-2-22 9:34:58 | 阅读(392) |评论(0) | 阅读全文>>

冰港生物:lncRNA测序

2016-1-18 10:24:27 阅读453 评论0 182016/01 Jan18

        长链非编码

作者  | 2016-1-18 10:24:27 | 阅读(453) |评论(0) | 阅读全文>>

RNA sequencing (RNA-seq) has revolutionized transcriptome analysis through profiling the expression of thousands of genes at the same time. Systematic analysis of orthologous transcripts across species is critical for understanding the evolution of gene expression and uncovering important information in animal models of human diseases. Several

作者  | 2015-12-8 9:40:25 | 阅读(567) |评论(0) | 阅读全文>>

BrowserGenome.org:基于网页的RNA-seq数据分析及可视化工具

2015-11-4 8:34:14 阅读637 评论0 42015/11 Nov4

Applications of deep-sequencing technologies in life science research and clinical diagnostics are rapidly expanding. Although fast data-processing algorithms exist, intuitive, portable data-evaluation solutions are still needed. Web tools have a history in bioinformatics of providing platform-independent, intuitive, barrier-free software solutions.

作者  | 2015-11-4 8:34:14 | 阅读(637) |评论(0) | 阅读全文>>

软件推荐:UGENE

2015-9-17 13:53:58 阅读631 评论1 172015/09 Sept17

软件推荐:UGENE - 喜欢吃桃子 - wangyufeng的博客
 

UGENE Features

作者  | 2015-9-17 13:53:58 | 阅读(631) |评论(1) | 阅读全文>>

       冰港生物为您提供“Pacbio RS II平台测序8折超低价体验”开学促销盛惠活动,助力您的科研项目,即日起至201510

作者  | 2015-9-14 15:05:20 | 阅读(431) |评论(1) | 阅读全文>>

Background

RNA-Seq has emerged as the standard for measuring gene expression and is an important technique often used in studies of human disease. Gene expression quantification involves comparison of the sequenced reads to a known genomic or transcriptomic reference. The accuracy of that quantification relies on there being enough unique

作者  | 2015-9-7 10:45:56 | 阅读(409) |评论(0) | 阅读全文>>

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