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SorGSD: a sorghum genome SNP database

TLDR
SorGSD is a comprehensive web-portal providing a database of large-scale genome variation across all racial types of cultivated sorghum and wild relatives and can serve as a bioinformatics platform for a range of genomics and molecular breeding activities for sorghums and for other C4 grasses.
Abstract
Background Sorghum (Sorghum bicolor) is one of the most important cereal crops globally and a potential energy plant for biofuel production. In order to explore genetic gain for a range of important quantitative traits, such as drought and heat tolerance, grain yield, stem sugar accumulation, and biomass production, via the use of molecular breeding and genomic selection strategies, knowledge of the available genetic variation and the underlying sequence polymorphisms, is required.

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The Big Data Center: from deposition to integration and to translation

TL;DR: The BIG Data Center, established at Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, provides a suite of database resources, providing freely open access to a variety of data resources in support of worldwide research activities in both academia and industry.
Journal ArticleDOI

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.

TL;DR: BI Search, a scalable, one-stop, cross-database search engine, has been significantly updated by providing easy access to a large number of internal and external biological resources from CNCB-NGDC, its partners, EBI and NCBI.
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Designing Future Crops: Genomics-Assisted Breeding Comes of Age

TL;DR: In this article, a suite of new approaches that fast-track targeted manipulation of allelic variation for creating novel diversity and facilitate their rapid and efficient incorporation in crop improvement programs is presented.
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Sweet sorghum as biofuel feedstock: recent advances and available resources

TL;DR: Various attributes of sweet sorghum that make it an ideal candidate for biofuel feedstock are discussed, and an overview of genetic diversity, tools, and resources available for engineering and/or marker-assisting breeding of sweet Sorghum are provided.
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The sorghum SWEET gene family: stem sucrose accumulation as revealed through transcriptome profiling

TL;DR: The key SWEET genes for technological improvement of sorghum in the production of biofuels are determined: SbSWEET8-1 for efflux of sucrose from the leaf; SbsWEET4-3 for unloading suc rose from the phloem in the stem; and Sb sWEET2-1 and S bSWEet7-1 in the same clade as seed development and AtS WEET8/RPG1 that
References
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Journal ArticleDOI

The Sequence Alignment/Map format and SAMtools

TL;DR: SAMtools as discussed by the authors implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments.
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Fast and accurate short read alignment with Burrows–Wheeler transform

TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

TL;DR: The GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
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A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3

TL;DR: It appears that the 5′ and 3′ UTRs are reservoirs for genetic variations that changes the termini of proteins during evolution of the Drosophila genus.
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