VariantBam 1.4.3 – Filtering and Profiling of Next-generational Sequencing data using Region-specific Rules

VariantBam 1.4.3

:: DESCRIPTION

VariantBam is a tool to extract/count specific sets of sequencing reads from next-generational sequencing files.

::DEVELOPER

VariantBam team

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

 VariantBam

:: MORE INFORMATION

Citation:

VariantBam: filtering and profiling of next-generational sequencing data using region-specific rules.
Wala J, Zhang CZ, Meyerson M, Beroukhim R.
Bioinformatics. 2016 Feb 26. pii: btw111.

SynthEx 1.05 – CNA detection and Tumor Heterogeneity profiling

SynthEx 1.05

:: DESCRIPTION

SynthEx is a comprehensive suite of tools for CNA detection and tumor heterogeneity profiling. It is tailored to cater for the multiple characteristics of different next generation sequencing technologies.

::DEVELOPER

Chen Group at U Chicago

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  Windows / MacOsX

:: DOWNLOAD

SynthEx

:: MORE INFORMATION

Citation

Silva GO, Siegel MB, Mose LE, Parker JS, Sun W, Perou CM, Chen M.
SynthEx: a synthetic-normal-based DNA sequencing tool for copy number alteration detection and tumor heterogeneity profiling.
Genome Biol. 2017 Apr 8;18(1):66. doi: 10.1186/s13059-017-1193-3. PMID: 28390427; PMCID: PMC5385048.

metaBIT 1.1 – automated Microbial Taxonomic Profiling

metaBIT 1.1

:: DESCRIPTION

The metaBIT pipeline proposes tools for visualising microbial profiles (barplots, heatmaps) and performing a range of statistical analyses (diversity indices, hierarchical clustering and principal coordinate analysis). It uses as input fastq files containing trimmed reads from shotgun high through-put sequencing.

::DEVELOPER

The Centre for Anthropobiology and Genomics of Toulouse

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

metaBIT

:: MORE INFORMATION

Citation

Louvel G, Der Sarkissian C, Hanghoj K, Orlando L.
metaBIT, an integrative and automated metagenomic pipeline for analysing microbial profiles from high-throughput sequencing shotgun data.
Mol Ecol Resour. 2016 Nov;16(6):1415-1427. doi: 10.1111/1755-0998.12546. Epub 2016 Jun 22. PMID: 27238636.

X2K 1.6.1207 – mRNA Profiling Linked to Multiple Upstream Regulatory Layers

X2K 1.6.1207

:: DESCRIPTION

X2K (Expression2Kinases)  is a method to identify upstream regulators likely responsible for observed patterns in genome-wide gene expression. By integrating ChIP-seq/chip and position-weight-matrices (PWMs) data, protein-protein interactions, and kinase-substrate phosphorylation reactions, X2K can better identify regulatory mechanisms upstream of genome-wide differences in gene expression. X2K first infers the most likely transcription factors that regulate the differences in gene expression, then use protein-protein interactions to connect the identified transcription factors using additional proteins for building transcriptional regulatory subnetworks centered on these factors, and finally use kinase-substrate protein phosphorylation reactions, to identify and rank candidate protein-kinases that most likely regulate the formation of the identified transcriptional complexes.

::DEVELOPER

Ma’ayan Laboratory

:: SCREENSHOTS

X2K

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Java 

:: DOWNLOAD

 X2K

:: MORE INFORMATION

Citation

Chen EY, Xu H, Gordonov S, Lim MP, Perkins MH, Ma’ayan A.
Expression2Kinases: mRNA Profiling Linked to Multiple Upstream Regulatory Layers.
Bioinformatics. (2012) 28 (1): 105-111

NOVA 0.8.0 – Visualization and Analysis of Complexome Profiling data

NOVA 0.8.0

:: DESCRIPTION

NOVA is a program designed to analysis complexome profiling data. A graphical user interface (GUI) provides various visualization tools, such as heat maps and 2D plots.  nova gui Several hierarchical clustering algorithms (e.g., single linkage, average linkage, Wards linkage), different distance measures (e.g., Euclidean distance, Manhattan distance, Pearson distance), and various normalization techniques are implemented. Many additional functions like zooming, searching for proteins, image export, and automatic file format recognition support intuitive handling for biologists.

::DEVELOPER

Molecular Bioinformatics MolBI

:: SCREENSHOTS

::REQUIREMENTS

  • Windows

:: DOWNLOAD

 NOVA 

:: MORE INFORMATION

Citation

NOVA: a software to analyze complexome profiling data.
Giese H, Ackermann J, Heide H, Bleier L, Dröse S, Wittig I, Brandt U, Koch I.
Bioinformatics. 2014 Oct 9. pii: btu623
Cell Metabolism, 16:538–549, 2012.

GeneNetWeaver 3.1.3 Beta – in silico benchmark Generation and performance profiling of Network Inference Methods

GeneNetWeaver 3.1.3 Beta

:: DESCRIPTION

GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods.

::DEVELOPER

GeneNetWeaver team

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux/ Windows/ MacOsX
  • Java

:: DOWNLOAD

 GeneNetWeaver

:: MORE INFORMATION

Citation:

Schaffter, T. et al. (2011).
GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods.
Bioinformatics, 27(16):2263-70

mOTUs 2.5.1 – Tool for Marker Gene-based OTU (mOTU) Profiling

mOTUs 2.5.1

:: DESCRIPTION

The mOTUs profiler is a computational tool that estimates relative abundance of known and currently unknown microbial community members using metagenomic shotgun sequencing data.

::DEVELOPER

Bork Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

mOTUs

:: MORE INFORMATION

Citation

Microbial abundance, activity and population genomic profiling with mOTUs2
Alessio Milanese, et al.
Nature Communications 10, Article number: 1014 (2019): https://doi.org/10.1038/s41467-019-08844-4

MiRCat 1.2 – miRNA Sequence Profiling

MiRCat 1.2

:: DESCRIPTION

MiRCat is a revolutionary new way of sharing and analysing sequencing data for small RNA.

::DEVELOPER

Victor Chang Cardiac Research Institute

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

 MiRCat

:: MORE INFORMATION

Citation:

Nucleic Acids Res. 2013 Aug 1;41(15):e147. doi: 10.1093/nar/gkt485. Epub 2013 Jun 17.
miRspring: a compact standalone research tool for analyzing miRNA-seq data.
Humphreys DT, Suter CM.

GEPIS – Gene Expression Profiling in silico

GEPIS

:: DESCRIPTION

GEPIS (Gene Expression Profiling in silico), is a bioinformatics tool that integrates EST and tissue source information to compute gene expression patterns in a large panel of normal and tumor samples.

::DEVELOPER

UCSF CGL -Genentech Collaboration

:: SCREENSHOTS

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Yan Zhang, David A. Eberhard, Gretchen D. Frantz, Patrick Dowd, Thomas D. Wu, Yan Zhou, Colin Watanabe, Shiuh-Ming Luoh, Paul Polakis, Kenneth J. Hillan, William I. Wood and Zemin Zhang
GEPIS-quantitative gene expression profiling in normal and cancer tissues
Bioinformatics, Oct. 12 2004, Vol. 20, No. 15, pp2390-2398

ProfCom – Profiling of Complex Functionality

ProfCom

:: DESCRIPTION

ProfCom is a web-based tool for the functional interpretation of a gene list that was identified to be related by experiments.

::DEVELOPER

Willkommen am Lehrstuhl für Genomorientierte Bioinformatik der TU München.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W347-51. doi: 10.1093/nar/gkn239. Epub 2008 May 6.
ProfCom: a web tool for profiling the complex functionality of gene groups identified from high-throughput data.
Antonov AV, Schmidt T, Wang Y, Mewes HW.

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