找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computational Systems Biology; Methods and Protocol Tao Huang Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018

[復(fù)制鏈接]
樓主: Waterproof
41#
發(fā)表于 2025-3-28 15:15:35 | 只看該作者
Bioinformatics Analysis for Cell-Free Tumor DNA Sequencing Data, provide comprehensive genetic information of tumor and better overcome the tumor heterogeneity problem comparing to tissue biopsy. Developed in recent years, next-generation sequencing (NGS) is a widely used technology for analyzing ctDNA. Although the technologies of processing ctDNA samples are m
42#
發(fā)表于 2025-3-28 21:18:59 | 只看該作者
An Overview of Genome-Wide Association Studies,ween common single-nucleotide polymorphisms (SNPs) and common human diseases such as heart disease, inflammatory bowel disease, type 2 diabetes, and psychiatric disorders. The standard strategy of population-based case-control studies for GWAS is illustrated in this chapter. We provide an overview o
43#
發(fā)表于 2025-3-28 23:00:32 | 只看該作者
44#
發(fā)表于 2025-3-29 05:39:31 | 只看該作者
The Reconstruction and Analysis of Gene Regulatory Networks,and their organization in living cells. For this end, gene regulatory networks (GRNs) are constructed to show relationship between biological molecules, in which the vertices of network denote biological molecules and the edges of network present connection between nodes (Strogatz, Nature 410:268–27
45#
發(fā)表于 2025-3-29 08:15:44 | 只看該作者
Differential Coexpression Network Analysis for Gene Expression Data,n profiling just focuses on the individual genes, and the interactions among genes are ignored, while genes play their roles not by isolations but by interactions with each other. Consequently, gene-to-gene coexpression analysis emerged as a powerful approach to solve the above problems. Then comple
46#
發(fā)表于 2025-3-29 13:14:38 | 只看該作者
47#
發(fā)表于 2025-3-29 15:44:37 | 只看該作者
48#
發(fā)表于 2025-3-29 23:43:16 | 只看該作者
Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods,NAs (lncRNAs) are the biggest kind of noncoding RNAs with more than 200?nt nucleotides in length. There are increasing evidences showing that lncRNAs play key roles in many biological processes. Therefore, the mutation and dysregulation of lncRNAs have close association with a number of complex huma
49#
發(fā)表于 2025-3-30 03:22:47 | 只看該作者
Survey of Computational Approaches for Prediction of DNA-Binding Residues on Protein Surfaces,annotations on proteins. In this chapter, different kinds of computational approaches are briefly introduced to predict DNA-binding residues on surface of DNA-binding proteins, and the merits and limitations of these methods are mainly discussed. This chapter focuses on the structure-based approache
50#
發(fā)表于 2025-3-30 05:07:31 | 只看該作者
Computational Prediction of Protein O-GlcNAc Modification,mall portion of O-GlcNAcylation sites. Several computational algorithms have been proposed as necessary auxiliary tools to identify potential O-GlcNAcylation sites. This chapter discusses the metrics and procedures used to assess prediction tools and surveys six computational tools for the predictio
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 08:03
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
墨竹工卡县| 北流市| 普宁市| 太谷县| 潜江市| 安徽省| 桂林市| 东台市| 忻城县| 腾冲县| 乌拉特中旗| 河北省| 都兰县| 曲阳县| 县级市| 株洲县| 灌云县| 峨山| 黄平县| 丰都县| 宜都市| 台前县| 娱乐| 海林市| 扎囊县| 东台市| 道孚县| 综艺| 大丰市| 远安县| 封开县| 迁西县| 广德县| 长宁县| 陵水| 平顺县| 乐平市| 巨野县| 碌曲县| 潢川县| 鄱阳县|