BOOGIE: Predicting Blood Groups From High Throughput Sequencing Data

PLoS ONE - United States
doi 10.1371/journal.pone.0124579
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Big Data Challenges and Opportunities in High-Throughput Sequencing

Systems Biomedicine
2013English

High-Throughput Sequencing Technologies

Molecular Cell
Cell BiologyMolecular Biology
2015English

mzGroupAnalyzer-Predicting Pathways and Novel Chemical Structures From Untargeted High-Throughput Metabolomics Data

PLoS ONE
Multidisciplinary
2014English

HaTSPiL: A Modular Pipeline for High-Throughput Sequencing Data Analysis

PLoS ONE
Multidisciplinary
2019English

Bioinformatics for High Throughput Sequencing

Journal of Data Mining in Genomics & Proteomics
2013English

Efficient Digest of High-Throughput Sequencing Data in a Reproducible Report

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2013English

An Economical, Quantitative, and Robust Protocol for High-Throughput T Cell Receptor Sequencing From Tumor or Blood

Methods in Molecular Biology
GeneticsMolecular Biology
2018English

High Throughput Sequencing and Cancer Genetics

Cell Cycle
MedicineDevelopmental BiologyCell BiologyMolecular Biology
2002English

DeepSV: Accurate Calling of Genomic Deletions From High-Throughput Sequencing Data Using Deep Convolutional Neural Network

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy