ORF-RAETER |
Translated ORF identification and quantification based on linear regression. |
https://github.com/alexfields/ORF-RATER.githttps://github.com/alexfields/ORF-RATER
|
[47] |
Ribo-TISH |
A comprehensive toolkit for analyzing TIs and predicting putative ORFs. |
https://github.com/zhpn1024/ribotish.git
|
[56] |
Ribowave |
ORF prediction, protein abundance estimation, TE calculation, and ribosomal frameshift identification based on wavelet transform. |
https://ribowave.ncrnalab.org/
|
[50] |
RiboORF |
ORF identification based on the arrangement of the ribosome A site, the 3 nt periodicity, and the consistency between codons. |
https://github.com/zhejilab/RibORF.git
|
[51] |
RiboHMM |
ORF identification based on the total abundance and periodic codon structure in RPF. |
https://github.com/djf604/RiboHMM.git
|
[57] |
ORFquant |
ORF prediction and quantification based on multi-taper method. |
https://github.com/lcalviell/ORFquant/releases/tag/1.02
|
[49] |
Ribotricer |
ORF prediction based on three-nucleotide periodicity. |
https://github.com/smithlabcode/ribotricer/releases/tag/v1.3.3
|
[58] |
PRICE |
Resolving overlapping sORFs and noncanonical translation initiation based on machine-learning model. |
https://github.com/erhard-lab/price.git
|
[59] |
Ribocode |
De novo assembly and annotation for translatomes based on Wilcoxon signed-rank test. |
https://github.com/xryanglab/RiboCode.git
|
[52] |
RiboTaper |
ORF identification based on the characteristic three-nucleotide periodicity of Ribo-Seq. |
https://ohlerlab.mdc-berlin.de/software/RiboTaper_126/
|
[48] |
RP-BP |
ORF prediction based on unsupervised Bayesian approach. |
https://github.com/dieterich-lab/rp-bp.git
|
[60] |
SPECtre |
ORF prediction based on 3 nt periodicity. |
https://github.com/mills-lab/spectre.git
|
[61] |
RiboToolkit |
Ribo-Seq web application for analysis and implementation of a full ORF prediction pipeline. |
http://rnainformatics.org.cn/RiboToolkit/analysis.php
|
[62] |
GWIPS-Viz |
Online web server for visualizing processed Ribo-Seq data. |
https://gwips.ucc.ie/
|
[63] |
Trips-Viz |
https://trips.ucc.ie/
|
[64] |