<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/45310?offset=300 https://bioinformaticsonline.com/researchlabs/view/44400/pevzner-lab Thu, 02 Nov 2023 05:39:26 -0500 <![CDATA[Pevzner Lab !]]> The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond the reach of previous techniques.

https://bioalgorithms.ucsd.edu/research4.html

]]> https://bioinformaticsonline.com/bookmarks/view/32134/lifemap Mon, 10 Apr 2017 05:42:37 -0500 https://bioinformaticsonline.com/bookmarks/view/32134/lifemap <![CDATA[Lifemap]]> Lifemap is an interactive tool to explore the WHOLE NCBI TAXONOMY. The concept used in Lifemap is similar to the one used in cartography with tools like Google Maps© or Open Street Maps: exploring is done by zooming and panning.

 The current tree contains ALL species present in NCBI taxonomy as of October 18th, 2016: 1,135,169 species including 10,545 Archaea, 418,777 Bacteria and 705,847 Eukaryotes. The Lifemap tree is updated every two weeks.

 All the nodes in the tree are clickable. This displays various information and options:

  • The species name (and the associated common name if there is one)
  • The rank (kingdom, family, class, species...)
  • Ability to go to the corresponding node/species on NCBI web site (displayed in a new window)
  • Possibility to download the corresponding subtree in newick extended format
  • Possibilty to get the whole lineage from the current node/tip to the root of the tree.

Address of the bookmark: http://lifemap-ncbi.univ-lyon1.fr/

]]> Jit https://bioinformaticsonline.com/blog/view/45303/the-tree-that-learned-to-read-genomes Fri, 11 Sep 2026 00:51:02 -0500 https://bioinformaticsonline.com/blog/view/45303/the-tree-that-learned-to-read-genomes <![CDATA[The Tree That Learned to Read Genomes]]> Imagine trying to reconstruct a family tree when many family photographs are missing, some names are unclear, and different relatives remember the past differently. This is similar to the challenge scientists face when trying to understand how organisms are related. Their family records are genomes, and the family tree is a phylogenetic tree. With modern sequencing technologies, scientists now have access to thousands of genomes, but comparing them can be difficult, especially when genomes are incomplete or poorly annotated.

A recent study by Webster and Chapman introduces Buscogeny (https://github.com/Jwebster89/Buscogeny), an open-source bioinformatics pipeline designed to make this process easier. The tool uses BUSCO (Benchmarking Universal Single-Copy Orthologs), which identifies conserved genes that are expected to occur as single copies in particular groups of organisms. These genes act like evolutionary landmarks, allowing researchers to compare genomes and investigate their relationships.

Buscogeny brings several steps of phylogenomic analysis into one workflow. It identifies BUSCO genes, extracts and aligns their sequences, removes unreliable regions, combines information from multiple genes, and uses the resulting data to construct a phylogenetic tree. It also provides quality-control information, helping researchers identify genomes that may be too incomplete for reliable analysis.

The authors demonstrate the usefulness of Buscogeny with bacterial and fungal genomes, including Alternaria. This is particularly valuable because fungal genomes can vary greatly in quality and annotation. Ultimately, Buscogeny helps transform massive amounts of genomic data into an understandable evolutionary story. Each DNA sequence becomes a clue, each conserved gene becomes a landmark, and together these clues reveal a picture of how life is connected.

More at https://link.springer.com/article/10.1007/s10123-025-00752-6?

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/43676/vcf2poptree-a-client-side-software-to-construct-population-phylogeny-from-genome-wide-snps Sat, 25 Dec 2021 00:13:31 -0600 https://bioinformaticsonline.com/bookmarks/view/43676/vcf2poptree-a-client-side-software-to-construct-population-phylogeny-from-genome-wide-snps <![CDATA[VCF2PopTree: a client-side software to construct population phylogeny from genome-wide SNPs]]> VCF2PopTree is a client-side software written in Javascript and it runs purely within the user’s computer/browser.  VCF2PopTree is compatible with all population browsers including Chrome, Opera, Edge and Firefox and works equally efficient in Mac, Windows and Linux (Ubuntu). 

Furthermore, it displays the tree in a mobile phone (iPhone and Android) if the input file size is small.  CITATION: Subramanian, S., Ramasamy, U. and Chen, D. (2019).  VCF2PopTree: a client-side software to construct population phylogeny from genome-wide SNPs.  Peer J. x:yy.

Address of the bookmark: https://github.com/sansubs/vcf2pop

]]> Surabhi Chaudhary