De novo transcriptome assemblies are required to analyze RNA-seq data from a species for which there is no reference genome. Once the assembly is complete, researchers need to know how good it is or compare the quality of similar assemblies generated by different parameters. There are several ways to characterize the quality of transcriptome assemblies. A good metric of assembly
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 a 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
DNA sequencing is the process of determining the nucleic acid sequence in DNA, and it is the technology by which the genome of a species can be characterized. Despite the advent of next-generation sequencing, current DNA sequencing technologies cannot read whole genomes at once, but rather reads small pieces of between 20 and 30.000 bases, depending on the technology used.
In this analysis, we will reproduce the study that was carried out by Michaela M. Martis et al. in 2017 (doi: http://doi.org/10.1371/journal.pone.0185182) with OmicsBox. Introduction Ascaridia galli is an intestinal parasite which infects a wide range of domestic birds. It is especially important in European farms, where it parasites laying hens and cause some economic problems. The only available treatments are
In this use case we will use the metagenomics tools included in OmicsBox to analyze the microbial communities of two different soda lakes from Brazil. The original study was carried out by Ana P. D. Andreote, et al., 2018 (doi: 10.3389/fmicb.2018.00244). Introduction Soda lakes are special ecosystems found across Africa, Europe, Asia, etc. These lakes show high levels of sodium
OmicsBox Supported Project Researchers: Shruti Kashyap Investigators: Dr. Neena Capalash and Dr. Prince Sharma Background and Project Overview: A.baumannii, a nosocomial pathogen, ranks first in the WHO’s list of antibiotic-resistant priority pathogen. The problem of increasing frequency of multi-drug resistance in A. baumannii has been further compounded by tolerance to high concentration of antibiotics due to persister cells. Persister cells
BioBam Bioinformatics S.L. Supported Project. Researchers: Nahid Hosseinzadeh Gharajeh Mohammad Amin Hejazi Mostafa Valizadeh Ebrahim Dorani Background and Project Overview: Dunaliella is a unicellular, halotolerant, biflagellate microalga which is already exploited as a platform in food, feed, aquaculture, biomedical, pharmaceutical, nutraceutical and cosmeceutical industries, specifically due to its high production of β-carotene and fine chemicals. There is a wide range
Whole genome functional annotation of Solanum lycopersicum with OmicsBox functional annotation module.
One of the most common applications of RNA-seq is to estimate gene and transcript expression. It starts with the alignment or mapping of reads and there are two possible alternatives: mapping to the genome when a reference sequence is available or mapping to the transcriptome (e.g. de novo assembled transcriptome). Reads may map uniquely or could be multi-mapped reads, while
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