Statistical modeling for sensitive detection of low-frequency single nucleotide variants
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Statistical modeling for sensitive detection of low-frequency single nucleotide variants ; volume:17 ; number:7 ; day:22 ; month:8 ; year:2016 ; pages:217-226 ; date:8.2016
BMC genomics ; 17, Heft 7 (22.8.2016), 217-226, 8.2016
- Urheber
-
Hao, Yangyang
- Beteiligte Personen und Organisationen
-
Zhang, Pengyue
Xuei, Xiaoling
Nakshatri, Harikrishna
Edenberg, Howard J.
Li, Lang
Liu, Yunlong
SpringerLink (Online service)
- DOI
-
10.1186/s12864-016-2905-x
- URN
-
urn:nbn:de:1111-201609194179
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:44 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Hao, Yangyang
- Zhang, Pengyue
- Xuei, Xiaoling
- Nakshatri, Harikrishna
- Edenberg, Howard J.
- Li, Lang
- Liu, Yunlong
- SpringerLink (Online service)
Ähnliche Objekte (12)
A statistical approach for identifying single nucleotide variants that affect transcription factor binding
Comparison of statistical low-frequency earthquake activity models
Impact of low-frequency coding variants on human facial shape
Structural snapshot of cyclic nucleotide binding domains from cyclic nucleotide-sensitive ion channels
Echoed induction of nucleotide variants and chromosomal structural variants in cancer cells
Collective judgment predicts disease-associated single nucleotide variants
Low‐Frequency Ultrasound Sensitive Piezo1 Channels Regulate Keloid‐Related Characteristics of Fibroblasts
Combinations of low-frequency genetic variants might predispose to familial pancreatic cancer
The impact of rare and low-frequency genetic variants in common disease
SNV-FEAST: microbial source tracking with single nucleotide variants
SomatoSim: precision simulation of somatic single nucleotide variants
SNVHMM: predicting single nucleotide variants from next generation sequencing
A statistical approach for identifying single nucleotide variants that affect transcription factor binding
Comparison of statistical low-frequency earthquake activity models
Impact of low-frequency coding variants on human facial shape
Structural snapshot of cyclic nucleotide binding domains from cyclic nucleotide-sensitive ion channels
Echoed induction of nucleotide variants and chromosomal structural variants in cancer cells
Collective judgment predicts disease-associated single nucleotide variants
Low‐Frequency Ultrasound Sensitive Piezo1 Channels Regulate Keloid‐Related Characteristics of Fibroblasts
Combinations of low-frequency genetic variants might predispose to familial pancreatic cancer
The impact of rare and low-frequency genetic variants in common disease
SNV-FEAST: microbial source tracking with single nucleotide variants
SomatoSim: precision simulation of somatic single nucleotide variants
SNVHMM: predicting single nucleotide variants from next generation sequencing
A statistical approach for identifying single nucleotide variants that affect transcription factor binding
Comparison of statistical low-frequency earthquake activity models
Impact of low-frequency coding variants on human facial shape
Structural snapshot of cyclic nucleotide binding domains from cyclic nucleotide-sensitive ion channels
Echoed induction of nucleotide variants and chromosomal structural variants in cancer cells
Collective judgment predicts disease-associated single nucleotide variants
Low‐Frequency Ultrasound Sensitive Piezo1 Channels Regulate Keloid‐Related Characteristics of Fibroblasts
Combinations of low-frequency genetic variants might predispose to familial pancreatic cancer
The impact of rare and low-frequency genetic variants in common disease
SNV-FEAST: microbial source tracking with single nucleotide variants
SomatoSim: precision simulation of somatic single nucleotide variants