MAMLE 1.0 – Image Analysis of E. coli and other Bacteria

MAMLE 1.0

:: DESCRIPTION

MAMLE is a novel segmentation method for detecting cells within dense clusters. MAMLE executes cell segmentation in two main stages. The first relies on state of the art filtering technique, edge detection in multi resolution with morphological operator and threshold decomposition for adaptive thresholding. From this, a correction procedure is applied that exploits maximum likelihood estimate as an objective function. Also, it acquires morphological features from the initial segmentation for constructing the likelihood parameter, after which the final segmentation results are obtained.

::DEVELOPER

Andre Ribeiro’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux/ MacOsX
  • MatLab

:: DOWNLOAD

 CellSegment Tool

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2013;14 Suppl 10:S8. doi: 10.1186/1471-2105-14-S10-S8. Epub 2013 Aug 12.
Cell segmentation by multi-resolution analysis and maximum likelihood estimation (MAMLE).
Chowdhury S, Kandhavelu M, Yli-Harja O, Ribeiro AS.

RASTA-Bacteria – Rapid Automated Scan for Toxins and Antitoxins in Bacteria

RASTA-Bacteria

:: DESCRIPTION

RASTA-Bacteria is an automated method allowing quick and reliable identification of TA loci in sequenced prokaryotic genomes, whether they are annotated open reading frames or not.

::DEVELOPER

GenOuest

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Genome Biol. 2007;8(8):R155.
RASTA-Bacteria: a web-based tool for identifying toxin-antitoxin loci in prokaryotes.
Sevin EW, Barloy-Hubler F.

nocoRNAc 1.23 – Predict & Characterise ncRNA Transcripts in Bacteria

nocoRNAc 1.23

:: DESCRIPTION

nocoRNAc (non-coding RNA characterization) is a Java program for the prediction and characterization of ncRNA transcripts in bacteria. nocoRNAc takes the coordinates of putative ncRNA loci as input and annotates them with transcriptional features to conduct strand-specific transcript predictions. Our approach is not limited to intergenic regions but also applied to predict cis-encoded asRNA transcripts. For the detection of the transcript’s 3′ end nocoRNAc integrates the program TransTermHP (Kingsford et al., 2007) to predict Rho-independent terminator signals. The 5′ start is predicted by the detection of destabilized regions in the genomic DNA. For this purpose we implemented the so-called SIDD model (Benham, Bi, 2004), which has been shown to be applicable to the detection of promoter regions in microbial genomes. Therefore, nocoRNAc does not have to rely on information about known TFBS. The putative transcriptional features are then combined to classify ncRNA loci into either being an ncRNA transcript or not. For ncRNAs that are classified as transcripts the strand is automatically specified, and its boundaries are derived from the SIDD sites and the Rho-independent transcription termination signal. Those loci that are classified not to be a transcript might be false positive predictions or they contain cis-regulatory motifs. For the latter, nocoRNAc incorporates other functionalities for the further analysis of the ncRNA loci such as the search for known RNA motifs from the Rfam database. Furthermore, nocoRNAc provides methods for the prediction of RNA-RNA interactions between ncRNAs and mRNAs. All results can be studied in detail in nocoRNAc’s integrated interactive R environment.

::DEVELOPER

Research Group “Integrative Transcriptomics” , Center for Bioinformatics Tübingen, University of Tübingen

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

nocoRNAc

:: MORE INFORMATION

Citation

nocoRNAc: Characterization of non-coding RNAs in prokaryotes
Alexander Herbig, Kay Nieselt
BMC Bioinformatics. 2011 Jan 31;12:40. doi: 10.1186/1471-2105-12-40.

ClonalOrigin 1.0 – Recombination Detection in Bacteria

ClonalOrigin 1.0

:: DESCRIPTION

ClonalOrigin is a tool for recombination detection in bacteria. ClonalOrigin performs a comparative analysis of the sequences of a sample of bacterial genomes in order to reconstruct the recombination events that have taken place in their ancestry.

::DEVELOPER

Daniel Lawson ,

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 ClonalOrigin

:: MORE INFORMATION

Citation

Genetics. 2013 Oct 30. doi: 10.1534/genetics.113.157172
Inference of the Properties of the Recombination Process from Whole Bacterial Genomes.
Ansari MA, Didelot X.

Didelot X, Lawson D, Darling A, Falush D (2010)
Inference of homologous recombination in bacteria using whole genome sequences.
Genetics doi:10.1534/genetics.110.120121

Bugs 2.0 – Simulate Bacteria-like Organism Growth

Bugs 2.0

:: DESCRIPTION

Bugs is a simple genetic algorithm program that simulates bacteria-like organisms which move about in a field of “algae” that they eat by moving over them. When they eat enough of the algae, they reproduce by division; if they don’t eat enough, they die. Over time, the initial aimless bugs will evolve into efficient foragers scouring their world for fresh algae.

::DEVELOPER

The Queller/Strassmann Research Group at Washington University in St. Louis

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Mac

:: DOWNLOAD

 Bugs

:: MORE INFORMATION

Exit mobile version