找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Genome Data Analysis; Ju Han Kim Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Genome data analysis.Bioinformatics.Practice in dat

[復(fù)制鏈接]
查看: 10924|回復(fù): 55
樓主
發(fā)表于 2025-3-21 20:08:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Genome Data Analysis
編輯Ju Han Kim
視頻videohttp://file.papertrans.cn/383/382829/382829.mp4
概述Describes recent advances in genomics and bioinformatics.Provides numerous examples of genome data analysis.Meets the needs of life scientists, medical scientists, and others who are new to the field
叢書(shū)名稱(chēng)Learning Materials in Biosciences
圖書(shū)封面Titlebook: Genome Data Analysis;  Ju Han Kim Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Genome data analysis.Bioinformatics.Practice in dat
描述.This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases...The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinform
出版日期Textbook 2019
關(guān)鍵詞Genome data analysis; Bioinformatics; Practice in data science; Statistics using R; Clinical informatics
版次1
doihttps://doi.org/10.1007/978-981-13-1942-6
isbn_softcover978-981-13-1941-9
isbn_ebook978-981-13-1942-6Series ISSN 2509-6125 Series E-ISSN 2509-6133
issn_series 2509-6125
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

書(shū)目名稱(chēng)Genome Data Analysis影響因子(影響力)




書(shū)目名稱(chēng)Genome Data Analysis影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Genome Data Analysis網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Genome Data Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Genome Data Analysis被引頻次




書(shū)目名稱(chēng)Genome Data Analysis被引頻次學(xué)科排名




書(shū)目名稱(chēng)Genome Data Analysis年度引用




書(shū)目名稱(chēng)Genome Data Analysis年度引用學(xué)科排名




書(shū)目名稱(chēng)Genome Data Analysis讀者反饋




書(shū)目名稱(chēng)Genome Data Analysis讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:59:48 | 只看該作者
LSI/VLSI Board Level Guidelines,hanged genetic analysis from qualitative to quantitative. Next-generation sequencing (NGS) technology, by making analysis of the genomic sequences that form the basis of biological phenomena widely available, is constantly presenting new views on biological and disease-related phenomena. In the firs
板凳
發(fā)表于 2025-3-22 04:17:32 | 只看該作者
2509-6125 ormatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinform978-981-13-1941-9978-981-13-1942-6Series ISSN 2509-6125 Series E-ISSN 2509-6133
地板
發(fā)表于 2025-3-22 05:09:10 | 只看該作者
Bioinformatics for Lifehanged genetic analysis from qualitative to quantitative. Next-generation sequencing (NGS) technology, by making analysis of the genomic sequences that form the basis of biological phenomena widely available, is constantly presenting new views on biological and disease-related phenomena. In the firs
5#
發(fā)表于 2025-3-22 10:18:59 | 只看該作者
6#
發(fā)表于 2025-3-22 14:46:56 | 只看該作者
7#
發(fā)表于 2025-3-22 18:21:37 | 只看該作者
Embodiment design considerations, various annotation and detection methods of SNP/InDel from the obtained sequences. This chapter describes the difference in analytical methods between common variants and rare variants, and an analysis approach using biological pathways, pharmacogenomics, and information of racial differences using
8#
發(fā)表于 2025-3-22 23:17:42 | 只看該作者
Das Konzept der dysfunktionalen Kognitionen,s approaches for adding SNP annotations and medicinal interpretations, using open sources based on personal genome data and genome variation information. This chapter will cover the following: (1) effective use of SNP data in SNPedia, (2) auto annotations of large volume of SNPs using Promethease ap
9#
發(fā)表于 2025-3-23 04:18:08 | 只看該作者
10#
發(fā)表于 2025-3-23 08:13:55 | 只看該作者
 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(ài)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, 2025-10-14 14:58
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
从化市| 南木林县| 田林县| 南陵县| 静海县| 商丘市| 吉林市| 淮安市| 姜堰市| 肥城市| 长垣县| 泗水县| 平和县| 松原市| 健康| 吴川市| 安溪县| 铁岭县| 札达县| 丰都县| 诸城市| 思南县| 湖州市| 乐至县| 九台市| 石狮市| 长阳| 南宁市| 德钦县| 六安市| 雷州市| 开平市| 舟曲县| 白山市| 佛山市| 伊金霍洛旗| 永寿县| 普兰县| 仪陇县| 蛟河市| 秦皇岛市|