Categorii:
inchide meniul
Noutati 2021
Bestselleruri
L-V 08:00 - 20:00 0371.781.781

Relationship Inference with Familias and R - Thore Egeland

0

427.68  Lei

sau 42768 de puncte. Detalii.

Livrare in 25 zile lucratoare

Cod: BRT9780128024027

An aparitie: 2015

Autor: Thore Egeland

Categoria: Programming and Analysis

Editie: cartonata

Editura: ACADEMIC PRESS

Format: 237 x 185 x 19 mm

Limba: English

Nr. pagini: 256



Adauga in wishlist

Trebuie sa fii logat

Comanda Rapid

Poti comanda acest produs introducand numarul tau de telefon. Vei fi apelat de un operator Libris.ro in cele mai scurt timp pentru prealuarea datelor necesare. comanda rapid
Transport Gratuit peste 90 de lei
Puncte de fidelitate
30 de Zile Drept de Retur
 

Relationship Inference in Familias and R discusses the use of Familias and R software to understand genetic kinship of two or more DNA samples. This software is commonly used for forensic cases to establish paternity, identify victims or analyze genetic evidence at crime scenes when kinship is involved. The book explores utilizing Familias software and R packages for difficult situations including inbred families, mutations and missing data from degraded DNA. The book additionally addresses identification following mass disasters, familial searching, non-autosomal marker analysis and relationship inference using linked markers. The second part of the book focuses on more statistical issues such as estimation and uncertainty of model parameters. Although written for use with human DNA, the principles can be applied to non-human genetics for animal pedigrees and/or analysis of plants for agriculture purposes. The book contains necessary tools to evaluate any type of forensic case where kinship is an issue.

Livrarea se face din stoc din depozitul de carte Libris, in zilele lucratoare. Transportul este gratuit prin curier rapid, oriunde in Romania, pentru orice comanda de minimum 90 de lei. Pentru orice solicitare apelati call center-ul Libris de luni pana vineri intre orele 8-20.


sus
Feedback Wishlist
// // //