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Sarocladium oryzae

De novo genome assembly and annotation of sheath rot fungus Sarocladium oryzae with Blast2GO

This project reproduces a study carried out by Hittalmani S. et al. in 2016 about the S. oryzae fungus which causes sheath rot of rice. We used Blast2GO for the main analysis steps like the structural and functional annotation and analysis. (Original research paper: https://doi.org/10.1186/s12864-016-2599-0) 1.  Introduction Sheath rot disease caused by S. oryzae is an emerging threat to rice

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A. galli

Reanalyzing the A. galli transcriptomic response to an anthelmintic drug with Blast2GO

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 Blast2GO. 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

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Debabrata

Is Repeat-Masking necessary in Blast2GO?

Does RNA-seq-based Eukaryotic GeneFinding of Blast2GO require repeat-masking the whole genome shotgun (WGS) sequence? A case study in jute (Corchorus olitorius L., Malvaceae s. l.) Debabrata Sarkar1, Carlos Menor2 and Nagendra Kumar Singh3 1Biotechnology Unit, Division of Crop Improvement, ICAR-Central Research Institute for Jute and Allied Fibres (CRIJAF), Nilganj, Barrackpore, Kolkata 700120, West Bengal, India. E-mail: debabrata.sarkar@icar.gov.in. ORCID iD: 0000-0003-3943-9646 2Blast2GO

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Pneumocystis

Evolutionary analysis of three Pneumocystis genomes

Blast2GO Supported Project. Researchers: Prof. Luis Delaye, CINVESTAV Irapuato, México Prof. Enrique Calderon, Instituto de Biomedicina de Sevilla, España Prof. Andrés Moya, I2SysBio, Universidad de Valencia, España Background and Project Overview: Fungi from the genus Pneumocystis parasites lungs of mammals. These fungi show extensive stenoxenism, meaning that each Pneumocystis specie parasites a single mammal species. In humans, Pneumocystis causes pneumonia

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Study of gene expression patterns associated with reproductive plasticity in the peacock blenny Salaria pavo

Blast2GO Supported Project. Researchers: MSc Sara D. Cardoso, Ph.D. candidate at Gulbenkian Institute for Science (IGC), Oeiras, Portugal Supervisors: Prof. Rui F. Oliveira, Gulbenkian Institute for Science (IGC), Oeiras, Portugal and Prof. Adelino V. M. Canário, CCMAR – Centre of Marine Sciences, University of Algarve, Faro, Portugal Background and Project Overview: The peacock blenny Salaria pavo (family Blenniidae) is a

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CodingPotential Assessment

A basic evaluation of the Coding-Potential Assessment Tool in Blast2GO RNA-seq technologies detect coding as well as multiple forms of noncoding RNA. RNA-seq can accurately measure gene and transcript abundance as well as identify known and novel features of a transcriptome. While the coding transcripts will lead to effector proteins, the non-coding transcripts are usually involved in the gene expression

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Changes in maize transcriptome in response to Maize Iranian mosaic virus (MIMV) infection

Blast2GO Supported Project. Researchers: Mr. Abozar Ghorbani, Ph.D. candidate at Plant Virology Research Center, College of Agriculture, Shiraz University, Shiraz, Iran Supervisors: Prof. Keramatollah Izadpanah, Plant Virology Research Center, College of Agriculture, Shiraz University, Shiraz, Iran and A/Prof. Ralf Dietzgen, Queensland Alliance for Agriculture and Food Innovation, the University of Queensland, Australia Background and Project Overview: Maize Iranian mosaic virus (MIMV,

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A basic evaluation of eukaryotic gene finding with Augustus in Blast2GO

Blast2GO allows executing eukaryotic de-novo and RNA-seq based gene finding with Augustus. In this way, it is possible to discover novel, putative coding genes and their genomic positions for yet uncharacterized genome. Based on the Augustus algorithm an ‘ab-initio’ (DNA sequences only), as well as RNA-seq guided (BAM files) gene predictions, are supported. As shown below, the latter increases prediction

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Time Course Expression Analysis

A simple use-case comparing Blast2GO with R chunks The Blast2GO feature “Time Course Expression Analysis” is designed to perform time-course expression analysis of count data arising from RNA-seq technology. Based on the software package ‘maSigPro’, which belongs to the Bioconductor project, this tool allows the detection of genomic features with significant temporal expression changes and significant differences between experimental groups

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