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1.
Bioinform Adv ; 4(1): vbae083, 2024.
Article in English | MEDLINE | ID: mdl-38895561

ABSTRACT

Motivation: Haplotype networks are a routine approach to visualize relationships among alleles. Such visual analysis of single-locus data is still of importance, especially in species diagnosis and delimitation, where a limited amount of sequence data usually are available and sufficient, along with other datasets in the framework of integrative taxonomy. In diploid organisms, this often requires separating (phasing) sequences with heterozygotic positions, and typically separate programs are required for phasing, reformatting of input files, and haplotype network construction. We therefore developed Hapsolutely, a user-friendly program with an ergonomic graphical user interface that integrates haplotype phasing from single-locus sequences with five approaches for network/genealogy reconstruction. Results: Among the novel options implemented, Hapsolutely integrates phasing and graphical reconstruction steps of haplotype networks, supports input of species partition data in the common SPART and SPART-XML formats, and calculates and visualizes haplowebs and fields for recombination, thus allowing graphical comparison of allele distribution and allele sharing among subsets for the purpose of species delimitation. The new tool has been specifically developed with a focus on the workflow in alpha-taxonomy, where exploring fields for recombination across alternative species partitions may help species delimitation. Availability and implementation: Hapsolutely is written in Python, and integrates code from Phase, SeqPHASE, and PopART in C++ and Haxe. Compiled stand-alone executables for MS Windows and Mac OS along with a detailed manual can be downloaded from https://www.itaxotools.org; the source code is openly available on GitHub (https://github.com/iTaxoTools/Hapsolutely).

2.
Methods Mol Biol ; 2744: 281-296, 2024.
Article in English | MEDLINE | ID: mdl-38683326

ABSTRACT

The overall availability of user-friendly software tools tailored to the analysis of DNA barcodes is limited. Several obvious functions such as detecting and visualizing the DNA barcode gap, the calculation of matrices of pairwise distances at the level of species, or the filtering and decontaminating of sets of sequences based on comparisons with reference databases can typically be carried out only by complex procedures that involve various programs and/or a substantial manual work of formatting. The iTaxoTools project aims at contributing user-friendly software solutions to improve the speed and quality of the workflow of alpha-taxonomy. In this chapter, we provide detailed protocols for the use of a substantially improved version of the tool TaxI2 for distance-based exploration of DNA barcodes. The program calculates genetic distances from prealigned data sets, or based on pairwise alignments, or with an alignment-free approach. Sequence and metadata input can be formatted as tab-delimited files and TaxI2 then computes tables, matrices and graphs of distances, and distance summary statistics within and between species and genera. TaxI2 also includes modes to compare a set of sequences against one or two reference data sets and output lists of best matches or filter data according to thresholds or reciprocal matches. Here, detailed step-by-step protocols are provided for the use of TaxI2, as well as for the interpretation of the program's output.


Subject(s)
DNA Barcoding, Taxonomic , Software , DNA Barcoding, Taxonomic/methods , Computational Biology/methods , DNA/genetics
3.
Methods Mol Biol ; 2744: 313-334, 2024.
Article in English | MEDLINE | ID: mdl-38683328

ABSTRACT

DNA barcoding plays an important role in exploring undescribed biodiversity and is increasingly used to delimit lineages at the species level (see Chap. 4 by Miralles et al.). Although several approaches and programs have been developed to perform species delimitation from datasets of single-locus DNA sequences, such as DNA barcodes, most of these were not initially provided as user-friendly GUI-driven executables. In spite of their differences, most of these tools share the same goal, i.e., inferring de novo a partition of subsets, potentially each representing a distinct species. More recently, a proposed common exchange format for the resulting species partitions (SPART) has been implemented by several of these tools, paving the way toward developing an interoperable digital environment entirely dedicated to integrative and comparative species delimitation. In this chapter, we provide detailed protocols for the use of two bioinformatic tools, one for single locus molecular species delimitation (ASAP) and one for statistical comparison of species partitions resulting from any kind of species delimitation analyses (LIMES).


Subject(s)
Computational Biology , DNA Barcoding, Taxonomic , Software , DNA Barcoding, Taxonomic/methods , Computational Biology/methods , Biodiversity , Phylogeny , Species Specificity , Animals , Genetic Speciation
4.
Methods Mol Biol ; 2744: 297-311, 2024.
Article in English | MEDLINE | ID: mdl-38683327

ABSTRACT

Rapid biodiversity loss sets new requirements for taxonomic research, prompting updating some long-established practices to maximize timely documentation of species before they have gone extinct. One of the crucial procedures associated with the description of new taxa in Linnean taxonomy is assigning them a diagnosis, which is an account of the specific features of the taxon, differentiating it from already described species. Traditionally, diagnostic characters have been morphological, but especially in the case of morphologically cryptic species, molecular diagnoses become increasingly important. In this chapter, we provide detailed protocols for molecular taxon diagnosis with the bioinformatic tool MolD which is available as open-source Python code, command-line driven binary, GUI-driven executable for Windows and Mac, and Galaxy implementation. MolD identifies diagnostic combinations of nucleotides (DNCs) in addition to single (pure) diagnostic sites, enabling users to base DNA diagnoses on a minimal number of diagnostic sites necessary for reliable differentiation of taxa.


Subject(s)
Computational Biology , DNA Barcoding, Taxonomic , Software , DNA Barcoding, Taxonomic/methods , Computational Biology/methods , Phylogeny , Biodiversity
5.
Bioinform Adv ; 2(1): vbac050, 2022.
Article in English | MEDLINE | ID: mdl-36699380

ABSTRACT

Motivation: Phylogenetic and phylogenomic analyses require multi-gene input files in different formats, but there are few user-friendly programs facilitating the workflow of combining, concatenating or separating, aligning and exploring multi-gene datasets. Results: We present Concatenator, a user-friendly GUI-driven program that accepts single-marker and multi-marker DNA sequences in different input formats, including Fasta, Phylip and Nexus, and that outputs concatenated sequences as single-marker or multi-marker Fasta, interleaved nexus or Phylip files, including command files for downstream model selection in IQ-TREE. It includes the option to (re)align markers with MAFFT and produces exploratory trees with FastTree. Although tailored for medium-sized phylogenetic projects, Concatenator is able to process phylogenomic datasets of up to 30 000 markers. Availability and implementation: Concatenator is written in Python, with C extensions for MAFFT and FastTree. Compiled stand-alone executables of Concatenator for MS Windows and Mac OS along with a detailed manual can be downloaded from www.itaxotools.org; the source code is openly available on GitHub (https://github.com/iTaxoTools/ConcatenatorGui).

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