2013
DOI: 10.1155/2013/252183
|View full text |Cite
|
Sign up to set email alerts
|

Modern Computational Techniques for the HMMER Sequence Analysis

Abstract: This paper focuses on the latest research and critical reviews on modern computing architectures, software and hardware accelerated algorithms for bioinformatics data analysis with an emphasis on one of the most important sequence analysis applications—hidden Markov models (HMM). We show the detailed performance comparison of sequence analysis tools on various computing platforms recently developed in the bioinformatics society. The characteristics of the sequence analysis, such as data and compute-intensive n… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
18
0

Year Published

2016
2016
2025
2025

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 27 publications
(18 citation statements)
references
References 26 publications
0
18
0
Order By: Relevance
“…Then, BLASTP was used to obtain the homolog candidate sequences with E < 10 −5 . All the candidate sequences were filtered by HMMER ( Meng and Ji, 2013 ) ( E < 10 −5 ) against the Pfam database ( Finn et al, 2016 ) to ensure each sequence contained the iconic domain structures characteristic of the gene family, and the remaining sequences were considered to be the corresponding genes. All multiple-sequence alignments were performed using the MAFFT, and conservation blocks trimmed using trimAl software.…”
Section: Methodsmentioning
confidence: 99%
“…Then, BLASTP was used to obtain the homolog candidate sequences with E < 10 −5 . All the candidate sequences were filtered by HMMER ( Meng and Ji, 2013 ) ( E < 10 −5 ) against the Pfam database ( Finn et al, 2016 ) to ensure each sequence contained the iconic domain structures characteristic of the gene family, and the remaining sequences were considered to be the corresponding genes. All multiple-sequence alignments were performed using the MAFFT, and conservation blocks trimmed using trimAl software.…”
Section: Methodsmentioning
confidence: 99%
“…The candidate hemomucin genes of each species were obtained by the BLASTP against the reference sequences with E-value 1E-30. Then the candidate hemomucin genes were analyzed using the HMMER [ 85 ] (version 3.1b2). To ensure reliability, the sequences short than 300 bp were removed.…”
Section: Methodsmentioning
confidence: 99%
“…Because it was not clear whether EhSNXs make complex with the other major retromer subcomplex, we investigated whether EhSNXs are colocalised with Vps26 during trogocytosis of Chinese hamster ovary (CHO) cells by IFA using HA-EhSNX1-and HA-EhSNX2-expressing strains. Phox homology domain sequences were predicted by HMMER (Meng & Ji, 2013) and are shown with yellow background. To investigate the localisation and kinetics of EhSNXs during trogocytosis, we performed IFA at 15 min after addition of CellTracker Blue-stained live CHO cells to E. histolytica trophozoites.…”
Section: Immunofluorescence Imaging Showing Colocalisation Of Ehsnxmentioning
confidence: 99%
“…Protein sequences were aligned using clustalw algorithm (http:// clustalw.ddbj.nig.ac.jp). Phox homology domain sequences were predicted by HMMER (Meng & Ji, 2013) and are shown with yellow background. The numbers by three amino acid sequences (EhSNX1, EhSNX2, and HsSNX3) correspond to the a.a. positions of each protein, whereas those on top of the sequences (Arg69, Ser72, Lys95, Ile109, and Arg118) correspond to the positions of the residues in HsSNX3 (Lenoir et al, 2018).…”
Section: Immunofluorescence Imaging Showing Colocalisation Of Ehsnxmentioning
confidence: 99%