De novo co-assembly of bacterial genomes from multiple single cells

作者
Narjes S. Movahedi,Elmirasadat Forouzmand,Hamidreza Chitsaz
标识
DOI:10.1109/bibm.2012.6392618
摘要

Recent progress in DNA amplification techniques, particularly multiple displacement amplification (MDA), has made it possible to sequence and assemble bacterial genomes from a single cell. However, the quality of single cell genome assembly has not yet reached the quality of normal multiceli genome assembly due to the coverage bias and errors caused by MDA. Using a template of more than one cell for MDA or combining separate MDA products has been shown to improve the result of genome assembly from few single cells, but providing identical single cells, as a necessary step for these approaches, is a challenge. As a solution to this problem, we give an algorithm for de novo co-assembly of bacterial genomes from multiple single cells. Our novel method not only detects the outlier cells in a pool, it also identifies and eliminates their genomic sequences from the final assembly. Our proposed co-assembly algorithm is based on colored de Bruijn graph which has been recently proposed for de novo structural variation detection. Our results show that de novo co-assembly of bacterial genomes from multiple single cells outperforms single cell assembly of each individual one in all standard metrics. Moreover, co-assembly outperforms mixed assembly in which the input datasets are simply concatenated. We implemented our algorithm in a software tool called HyDA which is available from http://compbio.cs.wayne.edu/software/hyda.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
科研通AI2S应助冷傲的笑蓝采纳,获得10
刚刚
1秒前
何香稳发布了新的文献求助20
1秒前
1秒前
超级铅笔发布了新的文献求助10
2秒前
2秒前
ziyi发布了新的文献求助10
2秒前
ddd应助浊酒采纳,获得10
2秒前
2秒前
3秒前
谨慎易文发布了新的文献求助10
3秒前
小七完成签到 ,获得积分10
3秒前
4秒前
彭于晏应助蔺曼曼采纳,获得10
4秒前
许七发布了新的文献求助10
4秒前
5秒前
wwj恒恒完成签到,获得积分10
5秒前
简单男孩发布了新的文献求助10
6秒前
桐桐应助didida采纳,获得10
6秒前
诚心八宝粥完成签到,获得积分10
6秒前
我是666发布了新的文献求助10
6秒前
Ye_F完成签到,获得积分10
6秒前
白梦容发布了新的文献求助30
6秒前
思源应助hust610wh采纳,获得10
7秒前
7秒前
7秒前
烂漫凡桃完成签到 ,获得积分10
7秒前
微笑发布了新的文献求助10
7秒前
8秒前
8秒前
搜集达人应助光亮不平采纳,获得10
8秒前
兮萍完成签到,获得积分10
8秒前
不安的元霜完成签到,获得积分10
9秒前
9秒前
金金金鑫发布了新的文献求助10
11秒前
小二郎应助恒迹采纳,获得10
11秒前
高挑的乌完成签到,获得积分10
12秒前
苦苦苦发布了新的文献求助10
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7615723
求助须知:如何正确求助?哪些是违规求助? 9190965
关于积分的说明 19694480
捐赠科研通 7188250
什么是DOI,文献DOI怎么找? 3271435
关于科研通互助平台的介绍 2434598
邀请新用户注册赠送积分活动 2266456