GeneViewer v.1 – View Genes and Features along a Sequences

GeneViewer v.1

:: DESCRIPTION

GeneViewer is very simple program for visualising the locations of various genomic features (SNPs, exons etc.)along a sequence. The user enters start and stop coordinates of the region they’re interested in, followed by any number of files. Each file must contain 2 columns of data (region start & stop) with any number of rows

::DEVELOPER

Colm O’Dushlaine

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /Windows
  • Perl

:: DOWNLOAD

 GeneViewer

:: MORE INFORMATION

EFFECT 2013 – Automated Construction and Extraction of Features for Classification of Biological Sequences

EFFECT 2013

:: DESCRIPTION

EFFECT is an algorithmic framework for automated detection of functional signals in biological sequences.

::DEVELOPER

Computational Biology lab, George Mason University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Java
  • BioJava

:: DOWNLOAD

 EFFECT

:: MORE INFORMATION

Citation

Kamath U, De Jong K, Shehu A.
Effective automated feature construction and selection for classification of biological sequences.
PLoS One. 2014 Jul 17;9(7):e99982. doi: 10.1371/journal.pone.0099982. PMID: 25033270; PMCID: PMC4102475.

repDNA 1.1.4 – Generate various modes of Feature Vectors for DNA Sequences

repDNA 1.1.4

:: DESCRIPTION

repDNA (Representations of DNAs) is a Python package for generating the widely used features reflecting the physicochemical properties and sequence-order effects of DNAs and nucleotides.

::DEVELOPER

Liu Lab, Harbin Institute of Technology Shenzhen Graduate School.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Python

:: DOWNLOAD

 repDNA 

:: MORE INFORMATION

Citation

repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects.
Liu B, Liu F, Fang L, Wang X, Chou KC.
Bioinformatics. 2014 Dec 10. pii: btu820.

Spial – Analysis of Subtype-specific Features in multiple Sequence Alignments of Proteins

Spial

:: DESCRIPTION

Spial (Specificity in alignments) is a web-server that takes a pair of multiple sequence alignments as input and produces an output that highlights positions which are conserved in both alignments (the consensus), and positions which are specific to either alignment.

::DEVELOPER

Spial team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2010 Nov 15;26(22):2906-7. doi: 10.1093/bioinformatics/btq552. Epub 2010 Sep 29.
Spial: analysis of subtype-specific features in multiple sequence alignments of proteins.
Wuster A1, Venkatakrishnan AJ, Schertler GF, Babu MM.

ProFET 1.0 – Protein Feature Engineering Toolkit

ProFET 1.0

:: DESCRIPTION

ProFET: Protein Feature Engineering Toolkit for Machine Learning

::DEVELOPER

Dan Ofer , Michal Linial

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 ProFET

:: MORE INFORMATION

Citation

ProFET: Feature engineering captures high-level protein functions.
Ofer D, Linial M.
Bioinformatics. 2015 Jun 30. pii: btv345.

Fizzy v1.4 – Feature Selection for Biological Data Formats

Fizzy v1.4

:: DESCRIPTION

Fizzy is a feature subset selection tool that uses FEAST in the background to run feature selection on biological data formats.

::DEVELOPER

Drexel’s EESI Lab.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/ Linux /MacOsX
  • Python

:: DOWNLOAD

 Fizzy

:: MORE INFORMATION

Citation

Fizzy: feature subset selection for metagenomics.
Ditzler G, Morrison JC, Lan Y, Rosen GL.
BMC Bioinformatics. 2015 Nov 4;16:358. doi: 10.1186/s12859-015-0793-8.

Igloo-Plot / Web-igloo – Interactively Visualizing multivariate data without Feature Decomposition

Igloo-Plot / Web-igloo

:: DESCRIPTION

Igloo-Plot is a tool for efficient visualization of multidimensional datasets.

Web-Igloo visualizes multivariate data in a 2D chart of multiple quantitative variables represented as anchors on a semicircle.

::DEVELOPER

Web-igloo team

:: SCREENSHOTS

:: REQUIREMENTS

  • WIndows / Linux

:: DOWNLOAD

Igloo-Plot

:: MORE INFORMATION

Citation

Kuntal BK, Ghosh TS, Mande SS.
Igloo-Plot: a tool for visualization of multidimensional datasets.
Genomics. 2014 Jan;103(1):11-20. doi: 10.1016/j.ygeno.2014.01.004. Epub 2014 Jan 17. PMID: 24444495.

Kuntal BK, Mande SS.
Web-igloo: a web based platform for multivariate data visualization.
Bioinformatics. 2017 Feb 15;33(4):615-617. doi: 10.1093/bioinformatics/btw669. PMID: 27797774.

Alfred v0.2.3 – BAM Alignment Statistics, Feature Counting and Annotation

Alfred v0.2.3

:: DESCRIPTION

Alfred is an efficient and versatile command-line application that computes multi-sample quality control metrics in a read-group aware manner. Alfred supports read counting, feature annotation and haplotype-resolved consensus computation using multiple sequence alignments

::DEVELOPER

Tobias Rausch

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

Alfred

:: MORE INFORMATION

Citation:

Rausch T, Hsi-Yang Fritz M, Korbel JO, Benes V.
Alfred: interactive multi-sample BAM alignment statistics, feature counting and feature annotation for long- and short-read sequencing.
Bioinformatics. 2019 Jul 15;35(14):2489-2491. doi: 10.1093/bioinformatics/bty1007. PMID: 30520945; PMCID: PMC6612896.

ZMap 2.8.0 – Genome Browser

ZMap 2.8.0

:: DESCRIPTION

ZMap is a genome browser written in C with the aim of providing fast access to high volume data. Data may be requested from a variety of disparate sources in parallel and cached locally allowing new tracks to be loaded or the view of current data adjusted without delay. Multiple views of the data may be presented and tracks configured for different levels of detail.

::DEVELOPER

the Annotools team at the Sanger Institute zmap@sanger.ac.uk

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

 ZMap 

:: MORE INFORMATION

mRMRe 2.1.0 – Parallelized mRMR Ensemble Feature Selection

mRMRe 2.1.0

:: DESCRIPTION

mRMRe contains a set of function to compute mutual information matrices from continuous, categorical and survival variables. It also contains function to perform feature selection with minimum Redundancy, Maximum Relevance (mRMR) and a new ensemble mRMR technique.

::DEVELOPER

Princess Margaret Bioinformatics and Computational Genomics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • R

:: DOWNLOAD

 mRMRe

:: MORE INFORMATION

Citation:

Bioinformatics. 2013 Sep 15;29(18):2365-8. doi: 10.1093/bioinformatics/btt383. Epub 2013 Jul 3.
mRMRe: an R package for parallelized mRMR ensemble feature selection.
De Jay N, Papillon-Cavanagh S, Olsen C, El-Hachem N, Bontempi G, Haibe-Kains B.