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Bioinformatics

Overview

The Bioinformatics (BINFUnit @CAAD is aimed at supporting and analyzing data in the genomic field, both for UPO researchers as well as for external laboratories and partners.

The advent of inexpensive high-throughput technologies allows the production of large-scale genomic dataset in practically all life-science domains. 
Once produced, the data must be analyzed, very often in highly specialized manners, to extract useful information.
This requires a large set of advanced computational and statistical skills and the ability to communicate constructively with different interlocutors, in order to meet the specific questions of each research group.

BINF supports research in designing, conducting and interpreting high-throughput experiments in several life science domains.

We can operate in terms of scientific collaboration and/or in terms of fee-based services. 

Services

BINF Unit offers computational support for all the main type of high-throughput NGS sequencing analysis, including analysis of ChIP-seq data, mRNA and microRNA-seq data, exome sequencing data.

The computational support offered is mainly based on a local implementation of state-of-the-art NGS analysis pipelines. In addition to that, the group offers consultancy for non-standard analysis and support over long-term projects.

Infrastructure

The Unit is equipped with last-generation desktop Linux computers as well as with an high-level dedicated UNIX server machine, featuring 2 Intel Xeon processors, 256 Gb of RAM and nearly 70 Tb of available hard-disk storage space. 

How to access

To request a service or to propose a collaborative project please contact the Unit manager: davide.cora@uniupo.it.

No access to the computational infrastructures is allowed for external users, due to security reasons.

Price list

Description

Analysis type

Ut of

measure

 

Price for UPO internals (euro)

Price for externals (euro)

Bioinformatic analysis of standard ChIP-seq data (QC evaluation, alignment to genome, peak calling)

standard / automated

sample

30

50

Bioinformatic analysis of standard mRNA-seq data (QC evaluation, alignment to genome, expression quantification at gene and isoform level)

standard / automated

sample

30

50

Bioinformatic analysis of standard microRNA-seq data (QC evaluation, alignment to genome / small RNA databases, expression quantification)

standard / automated

sample

30

50

Bioinformatic analysis of standard exome sequencing data (QC evaluation, alignment to genome / variant calling and annotation)

standard / automated

sample

40

60

Bioinformatic standard analysis of differential expressed genes in RNA-seq or microRNA-seq data (DEGs evaluation, heatmaps and plots creation, functional annotation)

standard / automated

sample

50

70

Custom or personalized analysis –

personalized computational and bioinformatics advice or support: Study design, Data interpretation, Regulatory sequence analysis, Functional genomics, Data mining, Implementation of non-standard algorithms. Consultancy and support over long-term projects.

manual data analysis

working hour

(case by case discussion)

15

(case by case discussion)

30

 

Monitoring of services

Currently, by manual tracking of activities, customers and collaborations.

Unit Members

  • Davide Corà, PhD
  • Francesco Favero, PhD
  • Nadia Barizzone, PhD

 Contacts

davide.cora@uniupo.it

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