FIGG: Simulating populations of whole genome sequences for heterogeneous data analyses
Main Authors: | Killcoyne, Sarah, del Sol, Antonio |
---|---|
Format: | Online |
Language: | English |
Published: |
BioMed Central
2014
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039316/ |
Similar Items
-
Identification of large-scale genomic variation in cancer genomes using in silico reference models
by: Killcoyne, Sarah, et al.
Published: (2016) -
GBSA: a comprehensive software for analysing whole genome bisulfite sequencing data
by: Benoukraf, Touati, et al.
Published: (2013) -
Effect of the Independent Acid Base Variables on Anion Gap Variation in Cardiac Surgical Patients: A Stewart-Figge Approach
by: Agrafiotis, Michalis, et al.
Published: (2014) -
Acid–base status of critically ill patients with acute renal failure: analysis based on Stewart–Figge methodology
by: Rocktaeschel, Jens, et al.
Published: (2003) -
Methods for visual mining of genomic and proteomic data atlases
by: Boyle, John, et al.
Published: (2012)