Tutorial

BiERapp is an interactive web application for assisting in gene prioritization in whole exome sequencing (WES) experiments.

This section explains how to use main tasks for BiERapp:

On the right top of home page, there are two buttons Login and Sign up, and a help option that contains: documentation and tutorial.

bierapp_login

After logging in, other options can be visualized on the top of main page.

bierapp_home

To create a new account in BiERapp, you only have to click sign in. It will appear a new window where you can select new account and fill in some fields. It is free. Once your account is created you can log in into a private session. All the jobs you run and all the panels you create will be saved there and will appear in the next session.
We'll see the different functionalities of the tool.

Loading Samples

From My Data or from Study Browser you can:

Create a Project
Create a Study
Upload Files: The input is a VCF file: individual VCF file for only one sample or multisample VCF file for several samples (families or group of cases /controls).

bierapp_upload

bierapp_indexing

How does BiERapp work?

After uploading VCF file, BiERapp detects variants for all samples.
You can select one or more samples in READY status to see them in Variant Browser.

bierapp_variantBrowser

Initial results show the whole set of variants. This is a general first view of detected variants. Next step for each user is defining his own strategy of filtering according to his interests.

bierapp_result

Filtering options

There are several filters to define the best strategy of variant selection. It is possible to choose one or several filtering options at the same time:

Segregation: This intuitive filter that allows reproducing any familiar pedigree with any inheritance model. Also case-control or sporadic de novo mutational diseases can be analysed in this framework. BiERapp also manages efficiently missing values (by default BiERapp shows variants with 0 missing values for genotypes, but you can modify this parameter). We only have to select the possible genotypes for each sample.

bierapp_segregation

Somatic: You can choose Somatic or Germinal samples and search intersection.

bierapp_somatic

Position:

Region: Several possibilities to define a region: - Only one chromosomal region: 1:1-10000000
- Several regions (separated by comma): 1:1-10000000, 2:1-10000000
- Some chromosomes(separated by comma): 4,5,8
Gene: Only variants for a group of genes. Example: BRCA2,PPL (separated by comma)
SNPId: Example: rs9988179,rs140361978 (separated by comma)

bierapp_position

Type: SNV, INDEL, CNV, MNV, SV

bierapp_type

Population frequencies: This filter is based on known population frequencies, including several subpopulations:

1000 Genomes Phase 3: 1000 Genomes
ESP 6500: Exome Variant Server
ExAC: [Exome Aggregation Consortium] (http://exac.broadinstitute.org/)

bierapp_freqs

Protein substitution scores:

bierapp_scores

Conservation: Set pathogenicity thresholds.

PhastCons is a program for identifying evolutionarily conserved elements in a multiple alignment, given a phylogenetic tree.
PhyloP scores measure evolutionary conservation at individual alignment sites

bierapp_conservation

Consequence types: Effect. Selecting one or multiple consequence type. It is possible uncheck or selecting several effects at the same time. The terms are sorted by the [IMPACT] (http://www.ensembl.org/Help/Glossary?id=535) rating of the severity of the variant consequence (high, moderate, low or modifier).

bierapp_CT