SatFind – C-program for Finding Satellites in Genomes

SatFind

:: DESCRIPTION

SatFind – C-program for Finding Satellites in Genomes

::DEVELOPER

 the Algorithmics and Genetics Group 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • C compiler

:: DOWNLOAD

 SatFind

:: MORE INFORMATION

Citation

PLoS One. 2013 Apr 24;8(4):e62221. doi: 10.1371/journal.pone.0062221.
A satellite explosion in the genome of holocentric nematodes.
Subirana JA, Messeguer X.

WebMOTIFS – Online Motif Discovery

WebMOTIFS

:: DESCRIPTION

WebMOTIFS is an online tool for motif discovery, scoring, analysis, and visualization. It allows you to use different programs to search for DNA-sequence motifs, and to easily combine and evaluate the results.

::DEVELOPER

The Fraenkel Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2007 Jul;35(Web Server issue):W217-20.
WebMOTIFS: automated discovery, filtering and scoring of DNA sequence motifs using multiple programs and Bayesian approaches.
Romer KA, Kayombya GR, Fraenkel E.

TAMO 20120321 – Analyze Transcriptional Regulation using DNA-sequence Motifs

TAMO 20120321

:: DESCRIPTION

TAMO  (Tools for Analysis of MOtifs) is developed around a unified motif representation of a position-specific scoring matrix (PSSM). Motif objects may be assembled from IUPAC-ambiguity codes, multiple sequence alignments, averages of other motifs, and matrices of frequencies or log-likelihood values. Motifs can printed, concatenated, indexed and sliced like text strings, or rendered as sequence logos. They can also be randomized, reverse-complemented, and recomputed using different assumptions about background base frequencies. Motifs can also store and report information about their origin, information content, and score. Finally, motifs can scan DNA sequences for instances of matching sites.

::DEVELOPER

The Fraenkel Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Python

:: DOWNLOAD

 TAMO

:: MORE INFORMATION

Citation:

D. Benjamin Gordon, Lena Nekludova, Scott McCallum and Ernest Fraenke
TAMO: a flexible, object-oriented framework for analyzing transcriptional regulation using DNA-sequence motifs.
Bioinformatics. 2005 Jul 15;21(14):3164-5.

Sequence Analysis 2020 – Bioinformatics Consultant

Sequence Analysis 2020

:: DESCRIPTION

Sequence Analysis is a collage of coding projects which the author has written over the past several years for various clients in his work as a bioinformatics consultant

::DEVELOPER

William A. Gilbert 

:: SCREENSHOTS

sa

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • Java

:: DOWNLOAD

 Sequence Analysis

:: MORE INFORMATION

DNACLUST r3 – Cluster Millions of short DNA sequences

DNACLUST r3

:: DESCRIPTION

DNACLUST is a tool for clustering millions of short DNA sequences. The clusters are created in such a way that the “radius” of each clusters is no more than the specified threshold.

::DEVELOPER

the Center for Bioinformatics and Computational Biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

  DNACLUST

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2011 Jun 30;12:271.
DNACLUST: accurate and efficient clustering of phylogenetic marker genes.
Ghodsi M, Liu B, Pop M.

BroadPeak – Broad Peak calling algorithm for Diffuse ChIP-seq Datasets

BroadPeak

:: DESCRIPTION

BroadPeak is an algorithm for the identification of broad peaks from diffuse ChIP-seq datasets.

::DEVELOPER

Jordan Lab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux
  • R Program

:: DOWNLOAD

 BroadPeak 

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Feb 15;29(4):492-3. doi: 10.1093/bioinformatics/bts722. Epub 2013 Jan 7.
BroadPeak: a novel algorithm for identifying broad peaks in diffuse ChIP-seq datasets.
Wang J, Lunyak VV, Jordan IK.

Sunflower 1.1.0 – Model for Natural Selection in Promoters

Sunflower 1.1.0

:: DESCRIPTION

Sunflower is an evolutionary model for promoters, analogous to the commonly used synonymous/nonsynonymous mutation models for protein-coding sequences.

::DEVELOPER

Michael M. Hoffman

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 Sunflower

:: MORE INFORMATION

Citation

Hoffman MM, Birney E. 2010.
An effective model for natural selection in promoters.
Genome Res. 20(5):685-692.

ThioFinder 1.2 – Identification of Thiopeptide Gene Clusters in DNA sequences

ThioFinder 1.2

:: DESCRIPTION

ThioFinder is a web-based tool  to rapidly identify thiopeptide biosynthetic gene cluster from DNA sequence using a profile Hidden Markov Model approach.

::DEVELOPER

Microbial Genomics and Bioinformatics Group, SKMML, SJT

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

PLoS One. 2012;7(9):e45878. doi: 10.1371/journal.pone.0045878.
ThioFinder: a web-based tool for the identification of thiopeptide gene clusters in DNA sequences.
Li J, Qu X, He X, Duan L, Wu G, Bi D, Deng Z, Liu W, Ou HY.

TSRchitect 1.20.0 – Promoter Identification from large-scale TSS Profiling data

TSRchitect 1.20.0

:: DESCRIPTION

TSRchitect allows the user to efficiently identify the putative promoter (the transcription start region, or TSR) from a variety of TSS profiling data types, including both single-end (e.g. CAGE) as well as paired-end (RAMPAGE, PEAT, STRIPE-seq).

::DEVELOPER

The Brendel Group @ Indiana University

:: REQUIREMENTS

  • Linux
  • R
  • Bioconductor

:: DOWNLOAD

TSRchitect

:: MORE INFORMATION

Citation

Raborn RT, Brendel VP.
Using RAMPAGE to Identify and Annotate Promoters in Insect Genomes.
Methods Mol Biol. 2019;1858:99-116. doi: 10.1007/978-1-4939-8775-7_9. PMID: 30414114.

GoRAMPAGE – Workflow for Promoter Detection by 5′-read Mapping

GoRAMPAGE

:: DESCRIPTION

GoRAMPAGE is a workflow for promoter detection by 5′-read mapping.

::DEVELOPER

The Brendel Group @ Indiana University

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

GoRAMPAGE

:: MORE INFORMATION

Citation

Raborn RT, Brendel VP.
Using RAMPAGE to Identify and Annotate Promoters in Insect Genomes.
Methods Mol Biol. 2019;1858:99-116. doi: 10.1007/978-1-4939-8775-7_9. PMID: 30414114.