找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Soft Computing for Biological Systems; Hemant J. Purohit,Vipin Chandra Kalia,Ravi Prabhak Book 2018 Springer Nature Singapore Pte Ltd. 201

[复制链接]
楼主: 太平间
发表于 2025-3-28 17:16:14 | 显示全部楼层
Soft Computing Methods and Tools for Bacteria DNA Barcoding Data Analysis,o a given species. Newly, the progress of next-generation sequencing technology has become growingly important in the bacterial taxonomy analysis, sequence classification, and species recognition. This chapter describes the major 16S rRNA gene sequence databases and tools available for DNA barcoding
发表于 2025-3-28 21:25:38 | 显示全部楼层
Fish DNA Barcoding: A Comprehensive Survey of Bioinformatics Tools and Databases,y. DNA barcoding is a reliable, cost-effective method that uses the cytochrome . oxidase I (COI) mitochondrial gene to recognize animal species. This gene has a short subsequence 658 bp region that is used for species discrimination. The availability of amplification standard operation protocols and
发表于 2025-3-28 23:18:37 | 显示全部楼层
发表于 2025-3-29 03:20:55 | 显示全部楼层
发表于 2025-3-29 08:02:49 | 显示全部楼层
发表于 2025-3-29 11:28:08 | 显示全部楼层
Current Scenario on Application of Computational Tools in Biological Systems, tools to make the job of exploring a system lot easier. This development eases our understanding of gene networks, plasticity and pattern of gene expression at gene to epigenomic level. In this book, we attempted to document selected areas of biological system and their advances, which will be frontier areas.
发表于 2025-3-29 18:11:57 | 显示全部楼层
Book 2018different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with available information.The book also focuses on using the soft-computing approach to predict protein-protein interactions, gene expression and networks. The
发表于 2025-3-29 23:13:20 | 显示全部楼层
发表于 2025-3-30 00:07:44 | 显示全部楼层
发表于 2025-3-30 04:08:29 | 显示全部楼层
https://doi.org/10.1007/978-981-10-7455-4computation; bioinformatics; gene expression; neural networks; machine learning; diagnostic prediction
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-7 22:42
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表