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Population Structure Analysis

Population Structure Analysis with OmicsBox

Population structure analysis is a statistical method used to infer the genetic composition and ancestry proportions of individuals within a population. This type of study allows us to understand genetic variation within and between populations. Building admixture models provides insights into evolutionary processes, migration patterns, and even disease susceptibility. ADMIXTURE, now available in OmicsBox, makes this analysis easier by providing a

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Using BWA for DNA and RNA Alignment in OmicsBox

The Burrows-Wheeler Alignment algorithm (BWA) is a tool designed to align short DNA and RNA reads. BWA is based on the Burrows-Wheeler Transform (BWT), an algorithm designed to rearrange sequences into runs of similar characters to improve data compression and efficient sequence alignment in Bioinformatics. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads

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Gene Set Analysis of GWAS data with MAGMA

The pursuit of genetic advancement in agricultural crops is a nuanced and ongoing scientific endeavor. The advent of Genome-Wide Association Studies (GWAS) marked a significant stride, offering a window into the intricate interplay between genetic variants and phenotypes. Yet, the scope of insights garnered through GWAS can be further enriched when coupled with refined analytical tools. The Gene Set Analysis

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Long-Read Sequence Alignment with Minimap2

  Sequence alignment is an essential element of genomics research, playing a significant role in aiding scientists in deciphering the intricacies of genetic data. When confronted with the task of aligning long reads generated by Pacific Biosciences (PacBio) or Oxford Nanopore Technologies (ONT) with precision and efficiency, scientists commonly opt for Minimap2 as their preferred tool (it is the most

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Decoding Long-Read Sequenced Transcriptomes: FLAIR vs. StringTie2

Transcriptome reconstruction is a challenging bioinformatic problem. The development of long-read sequencing technologies has made it easier to solve this issue thanks to the possibility of having transcripts entirely contained in a read. In addition, different algorithms have emerged to generate transcriptomes from long-read datasets, such as FLAIR and StringTie2. Both tools can be used for transcriptome reconstruction with long-read data.

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genetic variaton

Genetic Variation Exploration in Non-Model Organisms with OmicsBox

The study of genetic variation is fundamental in genomics research as it enables the comprehension of mutation causes and effects in the diversity of life. However, research in this field is well-developed in model organisms, while non-model organisms lack sufficient guidance for a consistent variant analysis pipeline. OmicsBox is a robust tool for investigating genetic variation in non-model organisms, facilitating

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Easy GWAS with OmicsBox

GWAS with OmicsBox

  Genome-Wide Association Studies (GWAS) are a valuable approach to investigating the relationship between genetic variations and phenotypic traits. However, due to many different analysis options, performing GWAS can be challenging, especially for researchers without a strong background in statistics or bioinformatics. OmicsBox’s Genetic Variation Module provides a solution by offering a user-friendly interface to powerful analysis tools. It includes

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Predict coding regions within transcripts in OmicsBox with TransDecoder

Most transcripts assembled from eukaryotic and prokaryotic RNA-Seq data are expected to code for proteins. The most practical procedure to identify likely coding transcripts is a sequence homology search, such as by BLASTX, against sequences from well-annotated and related species. Predicting coding regions is crucial to determine the molecular role that transcripts play in the cell. Unfortunately, such well-annotated nearby

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Long Read Transcriptome with SQANTI3

Transcriptome Analysis with SQANTI3

Transcriptome analysis is a challenging bioinformatic problem. In eukaryotic transcriptomes, alternative splicing and alternative polyadenylation are the most complex issues. Genome-wide analysis of alternative splicing has been studied with short-read RNA sequencing for a while. Nevertheless, this technology needs a subsequent assembly, which is difficult to be resolved in ambiguities in complex loci.

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