AliView: a fast and lightweight alignment viewer and editor for large datasets

被引：2166

作者：

Larsson, Anders ^{[1
]}

机构：

[1] Uppsala Univ, Evolutionary Biol Ctr, Dept Organismal Biol, S-75236 Uppsala, Sweden

来源：

BIOINFORMATICS | 2014年 / 30卷 / 22期

基金：

瑞典研究理事会;

关键词：

MULTIPLE SEQUENCE ALIGNMENT;

D O I：

10.1093/bioinformatics/btu531

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

AliView is an alignment viewer and editor designed to meet the requirements of next-generation sequencing era phylogenetic datasets. AliView handles alignments of unlimited size in the formats most commonly used, i.e. FASTA, Phylip, Nexus, Clustal and MSF. The intuitive graphical interface makes it easy to inspect, sort, delete, merge and realign sequences as part of the manual filtering process of large datasets. AliView also works as an easy-to-use alignment editor for small as well as large datasets.

引用

页码：3276 / 3278

页数：3

共 50 条

[1] A Lightweight Framework for Fast Image Retrieval on Large-Scale Image Datasets
Chen, Renhai
Li, Wenwen
Rao, Guozheng
Feng, Zhiyong
[J]. 2020 9TH IEEE NON-VOLATILE MEMORY SYSTEMS AND APPLICATIONS SYMPOSIUM (NVMSA 2020), 2020, : 42 - 47
[2] Application of fast Fourier transform cross-correlation for the alignment of large chromatographic and spectral datasets
Wong, JWH
Durante, C
Cartwright, HM
[J]. ANALYTICAL CHEMISTRY, 2005, 77 (17) : 5655 - 5661
[3] Picube for Fast Exploration of Large Datasets
Fu, Wenxiao
[J]. 2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020), 2020, : 2069 - 2073
[4] Face alignment by learning from small real datasets and large synthetic datasets
Gao, Haoqi
Ogawara, Koichi
[J]. 2022 ASIA CONFERENCE ON ALGORITHMS, COMPUTING AND MACHINE LEARNING (CACML 2022), 2022, : 397 - 402
[5] Scaling statistical multiple sequence alignment to large datasets
Michael Nute
Tandy Warnow
[J]. BMC Genomics, 17
[6] Scaling statistical multiple sequence alignment to large datasets
Nute, Michael
Warnow, Tandy
[J]. BMC GENOMICS, 2016, 17
[7] Kalign 3: multiple sequence alignment of large datasets
Lassmann, Timo
[J]. BIOINFORMATICS, 2020, 36 (06) : 1928 - 1929
[8] Fast and Sensitive Alignment of Microbial Whole Genome Sequencing Reads to Large Sequence Datasets on a Desktop PC: Application to Metagenomic Datasets and Pathogen Identification
Pongor, Loerinc S.
Vera, Roberto
Ligeti, Balazs
[J]. PLOS ONE, 2014, 9 (07):
[9] Fast Bayesian inference for large occupancy datasets
Diana, Alex
Dennis, Emily Beth
Matechou, Eleni
Morgan, Byron John Treharne
[J]. BIOMETRICS, 2023, 79 (03) : 2503 - 2515
[10] Fast approximating triangulation of large scattered datasets
Weimer, H
Warren, J
[J]. ADVANCES IN ENGINEERING SOFTWARE, 1999, 30 (06) : 389 - 400

← 1 2 3 4 5 →