English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Predicting genes in closely related species with Scipio and WebScipio.

Kollmar, M. (2019). Predicting genes in closely related species with Scipio and WebScipio. In M. Kollmar (Ed.), Gene Prediction.

Item is

Files

show Files
hide Files
:
3051167.pdf (Publisher version), 305KB
 
File Permalink:
-
Name:
3051167.pdf
Description:
-
OA-Status:
Visibility:
Restricted ( Max Planck Society (every institute); )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Kollmar, M.1, Author           
Affiliations:
1Research Group of Systems Biology of Motor Proteins, MPI for biophysical chemistry, Max Planck Society, ou_578570              

Content

show
hide
Free keywords: Eukaryotes; Gene prediction; Gene structure reconstruction; Sequenced genomes
 Abstract: Scipio and WebScipio are homology-based gene prediction software designed for annotating multigenic families and for transferring annotations from one species to closely related species. The strengths include the power to cope with sequencing-related problems such as sequencing errors and assemblies with short contigs but also the ability to correctly predict genes with unusually long introns and/or rather short exons. WebScipio is connected to diArk, the largest collection of eukaryotic genome assemblies, and thereby offers a very convenient way to correct existing annotations and to extend protein family datasets. WebScipio is also a key resource for researchers interested in mutually exclusive splicing, allowing to search for alternative exons not only in introns but also in up- and downstream regions in case of incompleteness of the search sequence. In this chapter, I describe how to use Scipio and WebScipio keeping a first-time user in mind.

Details

show
hide
Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/978-1-4939-9173-0_11
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Gene Prediction
Source Genre: Book
 Creator(s):
Kollmar, M.1, Editor           
Affiliations:
1 Research Group of Systems Biology of Motor Proteins, MPI for biophysical chemistry, Max Planck Society, ou_578570            
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -

Source 2

show
hide
Title: Methods in Molecular Biology
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: New York : Humana Press
Pages: - Volume / Issue: 1962 Sequence Number: - Start / End Page: 193 - 206 Identifier: ISBN: 978-1-4939-9172-3