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1.
BMC Bioinformatics ; 25(1): 217, 2024 Jun 18.
Artigo em Inglês | MEDLINE | ID: mdl-38890569

RESUMO

BACKGROUND: Tandem repeats are specific sequences in genomic DNA repeated in tandem that are present in all organisms. Among the subcategories of TRs we have Satellite repeats, that is divided into macrosatellites, minisatellites, and microsatellites, being the last two of specific interest because they can identify polymorphisms between organisms due to their instability. Currently, most mining tools focus on Simple Sequence Repeats (SSR) mining, and only a few can identify SSRs in the coding regions. RESULTS: We developed a microsatellite mining software called SATIN (Micro and Mini SATellite IdentificatioN tool) based on a new sliding window algorithm written in C and Python. It represents a new approach to SSR mining by addressing the limitations of existing tools, particularly in coding region SSR mining. SATIN is available at https://github.com/labgm/SATIN.git . It was shown to be the second fastest for perfect and compound SSR mining. It can identify SSRs from coding regions plus SSRs with motif sizes bigger than 6. Besides the SSR mining, SATIN can also analyze SSRs polymorphism on coding-regions from pre-determined groups, and identify SSRs differentially abundant among them on a per-gene basis. To validate, we analyzed SSRs from two groups of Escherichia coli (K12 and O157) and compared the results with 5 known SSRs from coding regions. SATIN identified all 5 SSRs from 237 genes with at least one SSR on it. CONCLUSIONS: The SATIN is a novel microsatellite search software that utilizes an innovative sliding window technique based on a numerical list for repeat region search to identify perfect, and composite SSRs while generating comprehensible and analyzable outputs. It is a tool capable of using files in fasta or GenBank format as input for microsatellite mining, also being able to identify SSRs present in coding regions for GenBank files. In conclusion, we expect SATIN to help identify potential SSRs to be used as genetic markers.


Assuntos
Mineração de Dados , Repetições de Microssatélites , Polimorfismo Genético , Software , Repetições de Microssatélites/genética , Mineração de Dados/métodos , Algoritmos , Fases de Leitura Aberta/genética , DNA Satélite/genética
3.
Data Brief ; 18: 1581-1587, 2018 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-29904660

RESUMO

Herein, we present the draft genome of Trametes villosa isolate CCMB561, a wood-decaying Basidiomycota commonly found in tropical semiarid climate. The genome assembly was 57.98 Mb in size with an L50 of 691. A total of 16,711 putative protein-encoding genes was predicted, including 590 genes coding for carbohydrate-active enzymes (CAZy), directly involved in the decomposition of lignocellulosic materials. This is the first genome of this species of high interest in bioenergy research. The draft genome of Trametes villosa isolate CCMB561 will provide an important resource for future investigations in biofuel production, bioremediation and other green technologies.

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