SCRIP 1.0.0 – An Accurate Simulator for Single-Cell RNA Sequencing Data

SCRIP 1.0.0

:: DESCRIPTION

SCRIP provides a flexible Gamma-Poisson mixture and a Beta-Gamma-Poisson mixture framework to simulate scRNA-seq data.

::DEVELOPER

Fei Qin [aut, cre, cph]

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows
  • R

:: DOWNLOAD

SCRIP

:: MORE INFORMATION

Citation:

Qin F, Luo X, Xiao F, Cai G.
SCRIP: an accurate simulator for single-cell RNA sequencing data.
Bioinformatics. 2021 Dec 7:btab824. doi: 10.1093/bioinformatics/btab824. Epub ahead of print. PMID: 34874992.

Circall v0.1.0 – Discovery of Circular RNAs from Paired-end RNA-sequencing data

Circall v0.1.0

:: DESCRIPTION

Circall is a novel method for fast and accurate discovery of circular RNAs from paired-end RNA-sequencing data.

::DEVELOPER

Dat T Nguyen

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

Circall

:: MORE INFORMATION

Citation

Nguyen DT, Trac QT, Nguyen TH, Nguyen HN, Ohad N, Pawitan Y, Vu TN.
Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data.
BMC Bioinformatics. 2021 Oct 13;22(1):495. doi: 10.1186/s12859-021-04418-8. PMID: 34645386; PMCID: PMC8513298.

PRADA 1.2 – Pipeline for RNA-Sequencing Data Analysis

PRADA 1.2

:: DESCRIPTION

PRADA is a flexible, modular and highly scalable software platform that provides many different types of information available by multifaceted analysis starting from raw paired-end RNA-seq data: gene expression levels, quality metrics, detection of unsupervised and supervised fusion transcripts, detection of intragenic fusion variants, homology scores and fusion frame classification.

::DEVELOPER

Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 PRADA

:: MORE INFORMATION

Citation

PRADA: pipeline for RNA sequencing data analysis.
Torres-García W, Zheng S, Sivachenko A, Vegesna R, Wang Q, Yao R, Berger MF, Weinstein JN, Getz G, Verhaak RG.
Bioinformatics. 2014 Apr 25.

ISOP 0.99.1 – Isoform-level expression patterns in single-cell RNA-sequencing data

ISOP 0.99.1

:: DESCRIPTION

ISOP (ISOform Patterns) is a mixture model o characterize the expression patterns of pairs of isoform from the same genes and determine if isoform-level expression patterns are random or signify biological effects.

::DEVELOPER

PROF. YUDI PAWITAN

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

ISOP

:: MORE INFORMATION

Citation

Vu TN, Wills QF, Kalari KR, Niu N, Wang L, Pawitan Y, Rantalainen M.
Isoform-level gene expression patterns in single-cell RNA-sequencing data.
Bioinformatics. 2018 Jul 15;34(14):2392-2400. doi: 10.1093/bioinformatics/bty100. PMID: 29490015; PMCID: PMC6041805.

SCmut – Detect Cell-level Mutation from single-cell RNA-sequencing

SCmut

:: DESCRIPTION

SCmut is a novel and robust statistical method for cell-level somatic mutation detection from single-cell RNA-sequencing.

::DEVELOPER

PROF. YUDI PAWITAN

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

SCmut

:: MORE INFORMATION

Citation

Vu TN, Nguyen HN, Calza S, Kalari KR, Wang L, Pawitan Y.
Cell-level somatic mutation detection from single-cell RNA sequencing.
Bioinformatics. 2019 Nov 1;35(22):4679-4687. doi: 10.1093/bioinformatics/btz288. PMID: 31028395; PMCID: PMC6853710.

miRPlant v6 – An Integrated Tool for Identification of Plant MiRNA from RNA Sequencing Data

miRPlant v6

:: DESCRIPTION

miRPlant extends miRDeep* to various plant species by adopting suitable strategies to identify hairpin excision regions and hairpin structure filtering for plants.

::DEVELOPER

miRPlant team

:: SCREENSHOTS

miRPlant

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  •  java

:: DOWNLOAD

 miRPlant

:: MORE INFORMATION

Citation

An J, Lai J, Sajjanhar A, Lehman ML, Nelson CC:
miRPlant: an integrated tool for identification of plant miRNA from RNA sequencing data.
BMC bioinformatics 2014, 15(1):275.

GETUTR 2.0.0 – Global Estimation of the 3′ UTR landscape based on RNA sequencing

GETUTR 2.0.0

:: DESCRIPTION

GETUTR provides a landscape of 3′ UTR from RNA-seq data. It has three steps: preprocessing, smoothing and normalization.

:: DEVELOPER

BIG Lab. (BIOINFORMATICS & GENOMICS)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 GETUTR

:: MORE INFORMATION

Citation:

Global Estimation of the 3′ Untranslated Region Landscape Using RNA Sequencing.
Kim M, You BH, Nam JW.
Methods. 2015 Apr 18. pii: S1046-2023(15)00157-7. doi: 10.1016/j.ymeth.2015.04.011.

deGPS 2.0 – Detecting Differential Expression in RNA-sequencing Studies

deGPS 2.0

:: DESCRIPTION

deGPS is a powerful and robust tool for detecting differential expression in RNA-Seq data.

::DEVELOPER

Chen Chu (chuchen.blueblues@gmail.com)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX / Windows
  • R

:: DOWNLOAD

 deGPS

:: MORE INFORMATION

Citation

deGPS is a powerful tool for detecting differential expression in RNA-sequencing studies.
Chu C, Fang Z, Hua X, Yang Y, Chen E, Cowley AW Jr, Liang M, Liu P, Lu Y.
BMC Genomics. 2015 Jun 13;16:455. doi: 10.1186/s12864-015-1676-0.

cisASE – Detecting Putative Cis-regulated Allele-specific Expression in RNA Sequencing data

cisASE

:: DESCRIPTION

cisASE is a likelihood-based method for ASE detection at multiple levels(SNV,exon and gene). It takes matched DNA sequencing data as reference to reduce artifacts from technical bias and copy number variation to identify ASE due to cis-acting elements, and it works almost as well for dataset without DNA sequencing.

::DEVELOPER

cisASE team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl
  • R

:: DOWNLOAD

 cisASE

:: MORE INFORMATION

Citation

cisASE: A likelihood-based method for detecting putative cis-regulated allele-specific expression in RNA sequencing data.
Liu Z, Gui T, Wang Z, Li H, Fu Y, Dong X, Li Y.
Bioinformatics. 2016 Jul 13. pii: btw416.

NASTIseq 1.0 – Detection of Natural Antisense Transcripts using Strand-specific RNA Sequencing data

NASTIseq 1.0

:: DESCRIPTION

NASTIseq is a software package for the identiffcation of cis-Natural Antisense Transcripts (cis-NAT) using strand speciffc RNA-seq data. The method is based on the observation that strand speciffc RNAseq sometimes generate reads from the unexpected strand. We designed a probabilistic model which estimate the strand speciffcity and account for it using a binomial model.

::DEVELOPER

Uwe Ohler’s Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows
  • R
  • DESeq
  • ROCR

:: DOWNLOAD

 NASTIseq

:: MORE INFORMATION

Citation

Song Li, Louisa Liberman, Neelanjan Mukherjee, Philip N. Benfey, Uwe Ohler. (2013).
Integrated detection of natural antisense transcripts using strand-specific RNA sequencing data.
Genome Res. 2013 Oct;23(10):1730-9. doi: 10.1101/gr.149310.112.