Cluster Flow 0.5 – A Simple and Flexible Bioinformatics Pipeline tool

Cluster Flow 0.5

:: DESCRIPTION

Cluster Flow is a pipelining tool to automate and standardise bioinformatics analyses on cluster environments.

::DEVELOPER

Phil Ewels @ the Science for Life Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Cluster Flow

:: MORE INFORMATION

Citation

Ewels P, Krueger F, Käller M, Andrews S.
Cluster Flow: A user-friendly bioinformatics workflow tool.
F1000Res. 2016 Dec 6;5:2824. doi: 10.12688/f1000research.10335.2. PMID: 28299179; PMCID: PMC5310375.

BMT – Bioinformatics Mini Toolbox

BMT

:: DESCRIPTION

BMT is combination of seven tools including FastqTrimmer, Gene Prediction, DNA Analysis, Translation, Protein analysis and Pairwise and Multiple alignment.

::DEVELOPER

Muhammad Nasir Iqbal

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

BMT

:: MORE INFORMATION

Citation

Iqbal MN, Rasheed MA, Awais M, Chammam W, Kanwal S, Khan SU, Saddick S, Tlili I.
BMT: Bioinformatics mini toolbox for comprehensive DNA and protein analysis.
Genomics. 2020 Nov;112(6):4561-4566. doi: 10.1016/j.ygeno.2020.08.010. Epub 2020 Aug 10. PMID: 32791200.

BioCRF 0.9 – Grammatical-Restrained HCRF tool for Bioinformatics applications

BioCRF 0.9

:: DESCRIPTION

BioCRF is an implementation of Grammatical-Restrained Hidden Conditional Random Fields (GRHCRFs) , an extension of linear HCRF to include prior knowledge about the problem at hand by means of a regular grammar. This results very useful in several Bioinformatics problems where only solution that agree with a regular grammar rules are biologically meaningful.

::DEVELOPER

Castrense Savojardo

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX
  • C++ Compiler

:: DOWNLOAD

 BioCRF

:: MORE INFORMATION

Citation

Piero Fariselli, Castrense Savojardo, Pier L Martelli and Rita Casadio
Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications
Algorithms for Molecular Biology 2009, 4:13

GC4S v1.6.0 – Bioinformatics-oriented collection of GUI Components for (Java) Swing

GC4S v1.6.0

:: DESCRIPTION

GC4S is an open-source library that provides a bioinformatics-oriented collection of GUI Components for (Java) Swing.

::DEVELOPER

SING Group.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / WIndows
  • Java

:: DOWNLOAD

GC4S

:: MORE INFORMATION

Citation

López-Fernández H, Reboiro-Jato M, Glez-Peña D, Laza R, Pavón R, Fdez-Riverola F.
GC4S: A bioinformatics-oriented Java software library of reusable graphical user interface components.
PLoS One. 2018 Sep 20;13(9):e0204474. doi: 10.1371/journal.pone.0204474. PMID: 30235322; PMCID: PMC6147514.

Bio-SeCo – Bioinformatics Search Computing Application

Bio-SeCo

:: DESCRIPTION

Bio-SeCo allows exploring and integrating data from external resources (e.g. NCBI and WU BLAST, Array Express, …).

::DEVELOPER

Bio-SeCo team

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2014;15 Suppl 1:S3. doi: 10.1186/1471-2105-15-S1-S3. Epub 2014 Jan 10.
Explorative search of distributed bio-data to answer complex biomedical questions.
Masseroli M, Picozzi M, Ghisalberti G, Ceri S.

BioHEL / BioHEL RPE – Bioinformatics-oriented Hierarchical Evolutionary Learning/ Rule Post-processing Engine

BioHEL / BioHEL RPE

:: DESCRIPTION

BioHEL is an evolutionary learning system designed to handle with large-scale bioinformatic datasets.

BioHEL RPE is a standalone program which takes a set of rules generated with BioHEL and applies a series of memetic operators over the individual rules and the whole rule set to increase their generality and reduce their complexity.

::DEVELOPER

Interdisciplinary Computing and Complex BioSystems (ICOS) research group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C++ Compiler

:: DOWNLOAD

BioHEL / BioHEL RPE

:: MORE INFORMATION

Citation:

M.A. Franco, N. Krasnogor, J. Bacardit
Speeding up the evaluation of evolutionary learning systems using GPGPUs
in Proceedings of the 12th annual conference on Genetic and evolutionary computation – GECCO ’10, p.1039, Portland, Oregon, USA, 2010

J. Bacardit, E.K. Burke, N. Krasnogor
Improving the scalability of rule-based evolutionary learning
in Memetic Computing, 1(1):55-67, March 2009

M.A. Franco, N. Krasnogor, J. Bacardit
Post-processing operators for decision lists
in Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference – GECCO ’12, p.847, Philadelphia, Pennsylvania, USA, 2012

Taiji 1.3.0 – Multi-omics Bioinformatics Pipeline

Taiji 1.3.0

:: DESCRIPTION

The Taiji software is an integrative multi-omics data analysis framework. It can be used as a standalone pipeline to analyze ATAC-seq, RNA-seq, single cell ATAC-seq or Drop-seq data. However, the uniqueness and the power of Taiji really lie in its ability to integrate diverse datasets and use these information in a clever way to construct regulatory network and identify candidate driver genes.

::DEVELOPER

Wei Wang’s group

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux / MacOsX

:: DOWNLOAD

Taiji

:: MORE INFORMATION

Citation

Zhang K, Wang M, Zhao Y, Wang W.
Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development.
Sci Adv. 2019 Mar 27;5(3):eaav3262. doi: 10.1126/sciadv.aav3262. PMID: 30944857; PMCID: PMC6436936.

birgHPC 1.2.1 – Creating instant Computing Clusters for Bioinformatics

birgHPC 1.2.1

:: DESCRIPTION

birgHPC (Bioinformatic Research Group High Performance Computing) is a free Linux Live CD distribution based on PelicanHPC and Debian Live.birgHPC features automated cluster configuration on PCs in the same network specifically for bioinformatics and molecular dynamics.

::DEVELOPER

birgHPC team

:: SCREENSHOTS

:: REQUIREMENTS

  • bootable DVD / USB

:: DOWNLOAD

 birgHPC

:: MORE INFORMATION

Citation

Teong Han Chew, Kwee Hong Joyce-Tan, Farizuwana Akma and Mohd Shahir Shamsir.
birgHPC: creating instant computing clusters for bioinformatics and molecular dynamics.
Bioinformatics. Volume 27, Issue 9. pp 1320-1321.

DART – Library includes a number of Bioinformatics Alignment Programs

DART

:: DESCRIPTION

The DART (DNA, Amino and RNA Tests.)library includes a number of bioinformatics programs, including: stemloc for RNA alignment; xrate for phylo-grammars; phylocomposer and other statistical alignment programs in the Handel package; and more.The programs use statistical algorithms (MCMC, EM) to impute multiple alignments, annotations and other unseen evolutionary parameters from sequence data. All are based on stochastic grammars or state-machine models of sequence mutation and natural selection.

::DEVELOPER

Ian Holmes, Berkeley

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 DART

:: MORE INFORMATION

Citation:

Paper Archive.

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