Metafast v1.0.0 – METAgenome FAST Analysis Toolkit

Metafast v1.0.0

:: DESCRIPTION

Metafast is a tool for fast graph-based reference-free comparison of shotgun metagenomic data.

::DEVELOPER

Computer Technologies Laboratory, National Research University of Information Technologies,

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOs
  • Java
:: DOWNLOAD

Metafast

:: MORE INFORMATION

Citation

Ulyantsev VI, Kazakov SV, Dubinkina VB, Tyakht AV, Alexeev DG.
MetaFast: fast reference-free graph-based comparison of shotgun metagenomic data.
Bioinformatics. 2016 Sep 15;32(18):2760-7. doi: 10.1093/bioinformatics/btw312. Epub 2016 Jun 3. PMID: 27259541.

PhyD* – Fast NJ-like algorithms to deal with incomplete Distance Matrices

PhyD*

:: DESCRIPTION

PhyD* implements four distance-based tree building algorithms: NJ*, UNJ*, BioNJ* and MVR*. These extend the four algorithms NJ (Saitou and Nei, 1987; Studier and Keppler, 1988), UNJ (Gascuel, 1997), BioNJ (Gascuel, 1997) and MVR (Gascuel, 2000) in order to build phylogenetic trees from incomplete distance matrices.

::DEVELOPER

Criscuolo A., Gascuel O.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / Mac OsX
  • Java

:: DOWNLOAD

 PhyD*

:: MORE INFORMATION

Citation

Fast NJ-like algorithms to deal with incomplete distance matrices.”
Criscuolo A., Gascuel O.
BMC Bioinformatics. 2008, Mar 26;9:166

FLASH 1.2.11 – Fast Length Adjustment of SHort reads

FLASH 1.2.11

:: DESCRIPTION

FLASH (Fast Length Adjustment of SHort reads) is a very accurate fast tool to merge paired-end reads from fragments that are shorter than twice the length of reads. The extended length of reads has a significant positive impact on improvement of genome assemblies.

::DEVELOPER

Center for Computational Biology , Johns Hopkins University School of Medicine

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows

:: DOWNLOAD

 FLASH

:: MORE INFORMATION

Citation:

Bioinformatics. 2011 Nov 1;27(21):2957-63. Epub 2011 Sep 7.
FLASH: fast length adjustment of short reads to improve genome assemblies.
Tanja Magoč, Salzberg SL.

segemehl 0.3 – Fast Short Read Mapping with Indels

segemehl 0.3

:: DESCRIPTION

segemehl is a software to map short sequencer reads to reference genomes. Unlike other methods, segemehl is able to detect not only mismatches but also insertions and deletions. Furthermore, segemehl is not limited to a specific read length and is able to map primer- or polyadenylation contaminated reads correctly.  segemehl implements a matching strategy based on enhanced suffix arrays (ESA). Segemehl now supports the SAM format, reads gzip‘ed queries to save both disk and memory space and allows bisulfite sequencing mapping and split read mapping.

::DEVELOPER

the Hoffmann Junior Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

  segemehl

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Mar 13. [Epub ahead of print]
Lacking alignments? The next generation sequencing mapper segemehl revisited.
Otto C1, Stadler PF, Hoffmann S.

Hoffmann S, Otto C, Kurtz S, Sharma CM, Khaitovich P, Vogel J, Stadler PF, Hackermueller J:
Fast mapping of short sequences with mismatches, insertions and deletions using index structures“,
PLoS Comput Biol (2009) vol. 5 (9) pp. e1000502

RapidNJ 2.3.2 – Fast Canonical Neighbor-joining Tree Construction

RapidNJ 2.3.2

:: DESCRIPTION

RapidNJ is an algorithmic engineered implementation of canonical neighbour-joining. It uses an efficient search heuristic to speed-up the core computations of the neighbour-joining method that enables RapidNJ to outperform other state-of-the-art neighbour-joining implementations.

::DEVELOPER

RapidNJ team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX

:: DOWNLOAD

 RapidNJ

:: MORE INFORMATION

Citation:

Martin Simonsen, Thomas Mailund and Christian N. S. Pedersen.
Rapid Neighbour Joining.
In Proceedings of the 8th Workshop in Algorithms in Bioinformatics (WABI), LNBI 5251, 113-122, Springer Verlag, October 2008. doi:10.1007/978-3-540-87361-7_10

ADP_EM 2.1 – Fast Rigid-body Fitting

ADP_EM 2.1

:: DESCRIPTION

ADP_EM (Another Docking Platform for EM) is ultra fast multiresolution fitting tool which has been specially designed to support high throughput coverage. The method uses spherical harmonics to effectively speed up the rotational scan.

::DEVELOPER

The Structural Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux

:: DOWNLOAD

 ADP_EM

:: MORE INFORMATION

Citation

Jose Ignacio Garzón, Julio A. Kovacs, Ruben Abagyan, and P. Chacón. (2007)
ADP_EM: Fast exhaustive multi-resolution docking for high-throughput coverage.
Bioinformatics. 23(4):427-33

FSA 1.15.9 – Fast Statistical Alignment

FSA 1.15.9

:: DESCRIPTION

FSA (Fast Statistical Alignment) is a probabilistic multiple sequence alignment algorithm which uses a “distance-based” approach to aligning homologous protein, RNA or DNA sequences. Much as distance-based phylogenetic reconstruction methods like Neighbor-Joining build a phylogeny using only pairwise divergence estimates, FSA builds a multiple alignment using only pairwise estimations of homology. The program is based on pair hidden Markov models which approximate an insertion/deletion process on a tree and uses a sequence annealing algorithm to combine the posterior probabilities estimated from these models into a multiple alignment. FSA uses its explicit statistical model to produce multiple alignments which are accompanied by estimates of the alignment accuracy and uncertainty for every column and character of the alignment—previously available only with alignment programs which use computationally-expensive Markov Chain Monte Carlo approaches—yet can align thousands of long sequences.

::DEVELOPER

Robert Bradley Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 FSA

:: MORE INFORMATION

Citation

Bradley RK, Roberts A, Smoot M, Juvekar S, Do J, Dewey C, Holmes I, Pachter L (2009)
Fast Statistical Alignment.
PLoS Computational Biology. 5:e1000392.

FAST 2.4 – Fast ASsociation Tests for Genes

FAST 2.4

:: DESCRIPTION

FAST  is an application for genome-wide studies by efficiently running several gene based analysis methods simultaneously on the same data set.

::DEVELOPER

Joel Bader lab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

 FAST

:: MORE INFORMATION

Citation

Fast association tests for genes with FAST.
Chanda P, Huang H, Arking DE, Bader JS.
PLoS One. 2013 Jul 23;8(7):e68585. doi: 10.1371/journal.pone.0068585.

FastME 2.1.5 – Fast & Accurate Phylogeny Reconstruction

FastME 2.1.5

:: DESCRIPTION

FastME is a software for fast and accurate phylogeny reconstruction algorithms based on the minimum-evolution principle. FastME showed better topological accuracy than NJ, BIONJ, WEIGHBOR and FITCH, in all evolutionary conditions we tested, which include large range deviations from molecular clock and substitution rates. When the number of taxa is high, its superiority over NJ, BIONJ and WEIGHBOR becomes important, while FITCH remains close to FastME but becomes hard to use due to its slowness. FastME is very fast, even faster than NJ, and can easily be applied to very large data sets (> 1000 taxa).

::DEVELOPER

The Computational Biology Institute (IBC)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOSX

:: DOWNLOAD

FastME

:: MORE INFORMATION

Citation

Mol Biol Evol. 2015 Oct;32(10):2798-800. doi: 10.1093/molbev/msv150. Epub 2015 Jun 30.
FastME 2.0: A Comprehensive, Accurate, and Fast Distance-Based Phylogeny Inference Program.
Lefort V, Desper R, Gascuel O

Desper R., Gascuel O.
Fast and accurate phylogeny reconstruction algorithms based on the minimum-evolution principle.
Journal of Computational Biology. 2002 9(5):687-705.

FAST 1.7 – FAST Analysis of Sequences Toolbox

FAST 1.7

:: DESCRIPTION

FAST ,built on BioPerl, provides simple, powerful open source command-line tools to filter, transform, annotate and analyze biological sequence data.

::DEVELOPER

Travis Lawrence

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Perl
  • BioPerl

:: DOWNLOAD

 FAST

:: MORE INFORMATION

Citation

FAST: FAST Analysis of Sequences Toolbox.
Lawrence TJ, Kauffman KT, Amrine KC, Carper DL, Lee RS, Becich PJ, Canales CJ, Ardell DH.
Front Genet. 2015 May 19;6:172. doi: 10.3389/fgene.2015.00172. eCollection 2015.