<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/41046?offset=290 https://bioinformaticsonline.com/bookmarks/view/35252/hgt-finder-a-new-tool-for-horizontal-gene-transfer-finding-and-application-to-aspergillus-genomes Wed, 17 Jan 2018 05:03:19 -0600 https://bioinformaticsonline.com/bookmarks/view/35252/hgt-finder-a-new-tool-for-horizontal-gene-transfer-finding-and-application-to-aspergillus-genomes <![CDATA[HGT-Finder: A New Tool for Horizontal Gene Transfer Finding and Application to Aspergillus genomes]]> HGT-Finder:

(i) can be used for HGT detection in both prokaryotes and eukaryotes,

(ii) can report a statistical P value for each gene to indicate how likely it is to be horizontally transferred, and

(iii) is fully automated (requires minimal human intervention), as well as very easy to install and run. 

Address of the bookmark: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626719/

]]> Jit https://bioinformaticsonline.com/bookmarks/view/39380/mgert-mobile-genetic-elements-retrieving-tool Sat, 18 May 2019 08:58:01 -0500 https://bioinformaticsonline.com/bookmarks/view/39380/mgert-mobile-genetic-elements-retrieving-tool <![CDATA[MGERT: Mobile Genetic Elements Retrieving Tool]]> MGERT is a computational pipeline for easy retrieving of MGE's coding sequences of a particular family from genome assemblies. MGERT utilizes several established bioinformatic tools combined into single pipeline which hides different technical quirks from an inexperienced user.

Address of the bookmark: https://github.com/andrewgull/MGERT

]]> Neel https://bioinformaticsonline.com/bookmarks/view/44487/r-package-for-pca-analysis Sun, 24 Mar 2024 20:06:24 -0500 https://bioinformaticsonline.com/bookmarks/view/44487/r-package-for-pca-analysis <![CDATA[R Package for PCA Analysis]]> An R package for performing principal component analysis (PCA) of genomics data. The package performs PCA, generates the publication-ready plots, and identifies population-specific outlier individuals. The package can be accessed on GitHub: https://github.com/Devashish13/PopulationStructure

Address of the bookmark: https://rpubs.com/Devashish13/PCAGenomics

]]> LEGE https://bioinformaticsonline.com/blog/view/45299/the-gene-detectives-how-a-new-computational-tool-is-helping-us-read-the-history-written-in-our-genes Thu, 10 Sep 2026 21:23:42 -0500 https://bioinformaticsonline.com/blog/view/45299/the-gene-detectives-how-a-new-computational-tool-is-helping-us-read-the-history-written-in-our-genes <![CDATA[The Gene Detectives: How a New Computational Tool Is Helping Us Read the History Written in Our Genes]]> Imagine opening an ancient family album with no names, dates, or captions. Some photographs are missing, others have been copied, and a few show people who look almost identical. Your challenge is to discover who is related to whom and reconstruct the family story. In evolutionary biology, scientists face a similar mystery when they study genes. Every genome contains clues about its past, but genes can be duplicated, lost, and changed over millions of years, making their history difficult to trace.

A recent study published in PLOS Computational Biology introduces REvolutionH-tl 2.0 (https://pypi.org/project/revolutionhtl/), a computational tool designed to help solve this mystery. The software analyzes protein sequences and identifies evolutionary relationships between genes. It can help researchers detect important events such as gene duplication, gene loss, and speciation, allowing them to reconstruct how genes evolved across different organisms.

What makes the tool especially interesting is its focus on both speed and interpretation. The researchers compared REvolutionH-tl 2.0 with several existing computational tools and reported that it achieved competitive accuracy while requiring less computational time in their tests. The tool also includes visualization features, helping researchers turn complicated genetic data into evolutionary stories that are easier to explore.

Genes are more than simple sequences of DNA; they are records of life’s long history. Each surviving gene carries traces of the changes that shaped it. By bringing together computational analysis and visualization, REvolutionH-tl 2.0 acts like a detective, helping scientists uncover these hidden stories. Ultimately, tools like this can improve our understanding of how genomes evolved and how genes acquired the roles they perform today.

More at https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013017

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/33693/circleator Sun, 25 Jun 2017 18:04:32 -0500 https://bioinformaticsonline.com/bookmarks/view/33693/circleator <![CDATA[Circleator]]> The Charm City Circleator--or Circleator for short--is a Perl-based visualization tool developed at the Institute for Genome Sciences in the University of Maryland's School of Medicine. Circleator produces circular plots of genome-associated data, like this one:

Sample Circleator image

Common uses of the tool include:

  • Displaying the sequence and/or genes in a GenBank flat file.
  • Highlighting differences and/or similarities in gene content between related organisms.
  • Comparing SNPs and indels between closely-related strains or serovars.
  • Comparing gene expression values across multiple samples or timepoints.
  • Visualizing coverage plots of RNA-Seq read alignments.

Key Features

Circleator...

  • Builds on BioPerl and the input file formats that it supports, including:
  • Accepts a number of other commonly-used datatypes and file formats:
    • BSR and TRF output, SAM/BAM files, VCF-encoded SNPs, tab-delimited files
  • Outputs publication-ready figures in the SVG (Scalable Vector Graphics) format.
  • Requires only a single configuration file whose layout mirrors that of the figure itself.
    • Predefined configuration files and "track" types are supplied for common datasets.
    • Advanced features allow limited analyses to be performed as a figure is drawn.
  • Includes an extensive set of regression tests.
  • Offers a prototype web-based GUI (under the "Ringmaster" project.)

https://github.com/jonathancrabtree/Circleator

Address of the bookmark: https://github.com/jonathancrabtree/Circleator

]]> Jit https://bioinformaticsonline.com/bookmarks/view/34380/chsminer-a-gui-tool-to-identify-chromosomal-homologous-segments Sat, 18 Nov 2017 16:55:49 -0600 https://bioinformaticsonline.com/bookmarks/view/34380/chsminer-a-gui-tool-to-identify-chromosomal-homologous-segments <![CDATA[CHSMiner: a GUI tool to identify chromosomal homologous segments]]>

Background

The identification of chromosomal homologous segments (CHS) within and between genomes is essential for comparative genomics. Various processes including insertion/deletion and inversion could cause the degeneration of CHSs.

Results

Here we present a Java software CHSMiner that detects CHSs based on shared gene content alone. It implements fast greedy search algorithm and rigorous statistical validation, and its friendly graphical interface allows interactive visualization of the results. We tested the software on both simulated and biological realistic data and compared its performance with similar existing software and data source.

Conclusion

CHSMiner is characterized by its integrated workflow, fast speed and convenient usage. It will be useful for both experimentalists and bioinformaticians interested in the structure and evolution of genomes.

 

https://github.com/zhenwang100/CHSMiner

Address of the bookmark: https://almob.biomedcentral.com/articles/10.1186/1748-7188-4-2

]]> Jit https://bioinformaticsonline.com/bookmarks/view/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver Fri, 08 Dec 2017 16:26:32 -0600 https://bioinformaticsonline.com/bookmarks/view/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver <![CDATA[jobTree based python wrapper to run the genome simulation tool suite Evolver]]> evolverSimControl (eSC) can be used to simulate multi-chromosome genome evolution on an arbitrary phylogeny (Newick format). In addition to simply running evolver, eSC also automatically creates statistical summaries of the simulation as it runs including text and image files. Also included are convenience scripts to: check on a running simulation and see detailed status and logging information; extract fasta sequence files from the leaf nodes of a completed simulation; extract pairwise multiple alignment files (.maf) from leaf and branch nodes from a completed simulation and with the help of mafJoin, join them together into a single maf covering the entire simulation.

Address of the bookmark: https://github.com/dentearl/evolverSimControl

]]> Jit https://bioinformaticsonline.com/bookmarks/view/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies Thu, 28 Dec 2017 09:10:26 -0600 https://bioinformaticsonline.com/bookmarks/view/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies <![CDATA[CAMSA :: a tool for Comparative Analysis and Merging of Scaffold Assemblies]]> CAMSA – is a tool for Comparative Analysis and Merging of Scaffold Assemblies, distributed both as a standalone software package and as Python library under the MIT license.

Main features:

  1. works with any number of scaffold assemblies in de-novo non-progressive fashion
  2. allows to simultaneously work with scaffold assemblies obtained from any in silico and in vitro techniques, supporting multiple existing formats via built-in converters
  3. creates an extensive report with several comparative quality metrics (both on assembly level and on the level of individual assembly points)
  4. constructs a merged combined scaffold assembly
  5. provides an interactive framework for a visual comparative analysis of the given assemblies

Address of the bookmark: https://cblab.org/camsa/

]]> Rahul Nayak https://bioinformaticsonline.com/bookmarks/view/36752/minmax-a-versatile-tool-for-calculating-and-comparing-synonymous-codon-usage-and-its-impact-on-protein-folding Thu, 24 May 2018 02:53:31 -0500 https://bioinformaticsonline.com/bookmarks/view/36752/minmax-a-versatile-tool-for-calculating-and-comparing-synonymous-codon-usage-and-its-impact-on-protein-folding <![CDATA[%MinMax: A versatile tool for calculating and comparing synonymous codon usage and its impact on protein folding.]]> Address of the bookmark: http://www.codons.org/

]]> Surabhi Chaudhary https://bioinformaticsonline.com/bookmarks/view/36861/eagler-a-scaffolding-tool-for-long-reads Mon, 04 Jun 2018 05:26:03 -0500 https://bioinformaticsonline.com/bookmarks/view/36861/eagler-a-scaffolding-tool-for-long-reads <![CDATA[EAGLER: a scaffolding tool for long reads.]]> EAGLER is a scaffolding tool for long reads. The scaffolder takes as input a draft genome created by any NGS assembler and a set of long reads. The long reads are used to extend the contigs present in the NGS draft and possibly join overlapping contigs. EAGLER supports both PacBio and Oxford Nanopore reads.

The tool should be compatible with most UNIX flavors and has been successfully tested on the following operating systems:

  • Mac OS X 10.11.1
  • Mac OS X 10.10.3
  • Ubuntu 14.04 LTS
https://bib.irb.hr/datoteka/844447.Diplomski_2015_Luka_terbi.pdf

Address of the bookmark: https://github.com/mculinovic/EAGLER

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