6mA-Finder – Computational prediction of 6mA sites in the DNA sequences

6mA-Finder

:: DESCRIPTION

6mA-Finder is a novel online tool for predicting DNA N6-methyladenine sites in genomes.

::DEVELOPER

Bioinformatics and Systems Medicine Laboratory

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

Xu H, Hu R, Jia P, Zhao Z.
6mA-Finder: a novel online tool for predicting DNA N6-methyladenine sites in genomes.
Bioinformatics. 2020 May 1;36(10):3257-3259. doi: 10.1093/bioinformatics/btaa113. PMID: 32091591; PMCID: PMC7214014.

Deep4mC – Computational prediction of 4mC sites in the DNA sequences

Deep4mC

:: DESCRIPTION

Deep4mC is a web server of systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning.

::DEVELOPER

Bioinformatics and Systems Medicine Laboratory

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

Xu H, Jia P, Zhao Z.
Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning.
Brief Bioinform. 2021 May 20;22(3):bbaa099. doi: 10.1093/bib/bbaa099. PMID: 32578842; PMCID: PMC8138820.

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.

RANDNA – Random DNA Sequence Generator

RANDNA

:: DESCRIPTION

RANDNA is a free software which allows to create random DNA sequences setting both their length and the percentage of nucleotide composition.

::DEVELOPER

Gruppo di Biologia Computazionale

:: SCREENSHOTS

RANDNA

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 RANDNA

:: MORE INFORMATION

Citation:

In Silico Biol. 2006;6(3):253-8.
RANDNA: a random DNA sequence generator.
Piva F1, Principato G.

PhyloGibbs 1.2 – Discover Regulatory Sites in a Collection of DNA sequences

PhyloGibbs 1.2

:: DESCRIPTION

PhyloGibbs is an algorithm for discovering regulatory sites in a collection of DNA sequences, including multiple alignments of orthologous sequences from related organisms. Many existing approaches to either search for sequence-motifs that are overrepresented in the input data, or for sequence-segments that are more conserved evolutionary than expected. PhyloGibbs combines these two approaches and identifies significant sequence-motifs by taking both over-representation and conservation signals into account.

PhyloGibbs-MP is a significant enhancement.

::DEVELOPER

van Nimwegen Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX

:: DOWNLOAD

 PhyloGibbs

:: MORE INFORMATION

Citation:

Rahul Siddharthan, Eric D. Siggia, and Erik van Nimwegen
PhyloGibbs: A Gibbs Sampling Motif Finder That Incorporates Phylogeny
PLoS Comput Biol 1(7): e67 2005

PANDASEQ 2.11 / Pandaseq-sam 1.4 – PAired-eND Assembler for DNA sequences

PANDASEQ 2.11 / Pandaseq-sam 1.4

:: DESCRIPTION

PANDASEQ is a program to align Illumina reads, optionally with PCR primers embedded in the sequence, and reconstruct an overlapping sequence.

PANDASEQ-SAM is a program to align Illumina reads, optionally with PCR primers embedded in the sequence, and reconstruct an overlapping sequence. This version works on SAM/BAM formatted files.

::DEVELOPER

Neufeld Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX/ Windows
  • C Compiler 

:: DOWNLOAD

 PANDASEQ , PANDASEQ-SAM

:: MORE INFORMATION

Citation

Andre P Masella, Andrea K Bartram, Jakub M Truszkowski, Daniel G Brown and Josh D Neufeld.
PANDAseq: paired-end assembler for illumina sequences.
BMC Bioinformatics 2012, 13:31.

Sequedex 2.1.1 – Classifies DNA Sequences by Analyzing Collections of Sequences

Sequedex 2.1.1

:: DESCRIPTION

Sequedex classifies DNA sequences by analyzing collections of sequences in new ways.

::DEVELOPER

The Sequedex Team

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux/ MacOsX/Windows
  • Java
  • Python
  • Biopython

:: DOWNLOAD

 Sequedex

:: MORE INFORMATION

Citation

Joel Berendzen et al.
Rapid phylogenetic and functional classification of short genomic fragments with signature peptides
BMC Research Notes 2012, 5:460 doi:10.1186/1756-0500-5-460

UVWORD – Comparison of DNA Sequences

UVWORD

:: DESCRIPTION

UVWORD determines the number of times that each DNA word present in a sequence (target) is found in a second sequence (source), a procedure that we have called oligonucleotide profiling.

::DEVELOPER

Bioinformatics Unit, Instituto de Biomedicina de Valencia (CSIC) / Universidad de Valencia

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  •  Windows/Linux

:: DOWNLOAD

 UVWORD

:: MORE INFORMATION

Citation

BMC Res Notes. 2008 Feb 28;1:5. doi: 10.1186/1756-0500-1-5.
Fast comparison of DNA sequences by oligonucleotide profiling.
Arnau V1, Gallach M, Marín I.

CSSSCL 1.0 – A Taxonomic Classifier for DNA Sequences.

CSSSCL 1.0

:: DESCRIPTION

CSSSCL is a python package that uses Combined Sequence Similarity Scores for accurate taxonomic CLassification of long and short reads.

::DEVELOPER

CSSSCL team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 CSSSCL

:: MORE INFORMATION

Citation:

CSSSCL: a python package that uses Combined Sequence Similarity Scores for accurate taxonomic CLassification of long and short sequence reads.
Borozan I, Ferretti V.
Bioinformatics. 2015 Oct 9. pii: btv587.

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