Machine learning for big data analytics in plants
Rapid advances in high-throughput genomic technology have enabled biology to enter the
era of 'Big Data'(large datasets). The plant science community not only needs to build its …
era of 'Big Data'(large datasets). The plant science community not only needs to build its …
Regulation of plant epigenetic memory in response to cold and heat stress: towards climate resilient agriculture
Plants have evolved to adapt and grow in hot and cold climatic conditions. Some also adapt
to daily and seasonal temperature changes. Epigenetic modifications play an important role …
to daily and seasonal temperature changes. Epigenetic modifications play an important role …
Farmer research networks as a strategy for matching diverse options and contexts in smallholder agriculture
R Nelson, R Coe, BIG Haussmann - Experimental Agriculture, 2019 - cambridge.org
The agricultural research and development institutions in most developing countries are
poorly equipped to support the needs of millions of smallholder farmers that depend upon …
poorly equipped to support the needs of millions of smallholder farmers that depend upon …
Biological big data analytics
MS Gharajeh - Advances in computers, 2018 - Elsevier
Big data analytics uses efficient analytic techniques to discover hidden patterns,
correlations, and other insights from big data. It brings significant cost advantages, enhances …
correlations, and other insights from big data. It brings significant cost advantages, enhances …
Overview of biotechnology-derived herbicide tolerance and insect resistance traits in plant agriculture
T Mall, M Gupta, TS Dhadialla, S Rodrigo - Transgenic Plants: methods …, 2019 - Springer
Biotechnology has been central for the acceleration of crop improvement over the last two
decades. Since 1994, when the first commercial biotechnology-derived tomato crop was …
decades. Since 1994, when the first commercial biotechnology-derived tomato crop was …
System approaches to study root hairs as a single cell plant model: current status and future perspectives
Our current understanding of plant functional genomics derives primarily from
measurements of gene, protein and/or metabolite levels averaged over the whole plant or …
measurements of gene, protein and/or metabolite levels averaged over the whole plant or …
A formative usability study to improve prescriptive systems for bioinformatics big data
Big data computation tools are vital for researchers and educators from various domains
such as plant science, animal science, biomedical science and others. With the growing …
such as plant science, animal science, biomedical science and others. With the growing …
[HTML][HTML] Plant responses to pathogen attack: molecular basis of qualitative resistance
K Ávila Méndez, HM Romero - Revista Facultad Nacional de …, 2017 - scielo.org.co
Pathogens attack plants to assimilate nutrients from them. All plant species have succeeded
in overcoming pathogenic attack; therefore disease condition is not the rule but the …
in overcoming pathogenic attack; therefore disease condition is not the rule but the …
Salient features, data and algorithms for microRNA screening from plants: a review on the gains and pitfalls of machine learning techniques
The era of big data and high-throughput genomic technology has enabled scientists to have
a clear view of plant genomic profiles. However, it has also led to a massive need for …
a clear view of plant genomic profiles. However, it has also led to a massive need for …
Role of Big Data in e-Healthcare Application for Managing a Large Amount of Data
Medical researchers work with huge amounts of data for managing their treatment plans and
analysing recovery rates of their patients. To examine tumour samples, biobanks are linked …
analysing recovery rates of their patients. To examine tumour samples, biobanks are linked …