ArticleBiophysical reviews2019
Big data challenges in genome informatics.
Article in Biophysical reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- SNPio: a Python interface for population genomic data processing.BMC bioinformatics · 2026Article
- Mapping the pangenome of sulfate reducing bacteria: core genes, plasticity, and novel functions in Desulfovibrio spp.World journal of microbiology & biotechnology · 2025Article
- The Amphibian Genomics Consortium: advancing genomic and genetic resources for amphibian research and conservation.BMC genomics · 2024Review
- Integration of genomic medicine to mainstream patient care within the UK National Health Service.The Ulster medical journal · 2024Review
- The Amphibian Genomics Consortium: advancing genomic and genetic resources for amphibian research and conservation.bioRxiv : the preprint server for biology · 2024Article
- Biodiversity of microorganisms in the Baltic Sea: the power of novel methods in the identification of marine microbes.FEMS microbiology reviews · 2024Review
- Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models.International journal of molecular sciences · 2023Review
- Cancer resistance via the downregulation of the tumor suppressorsExploration of targeted anti-tumor therapy · 2023Review
- SamQL: a structured query language and filtering tool for the SAM/BAM file format.BMC bioinformatics · 2021Article
- Phytosterol Profiles, Genomes and Enzymes - An Overview.Frontiers in plant science · 2021Review
- An information-theoretical analysis of gene nucleotide sequence structuredness for a selection of aging and cancer-related genes.Genomics & informatics · 2020Article
- Big data: the elements of good questions, open data, and powerful software.Biophysical reviews · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
In recent years, we have witnessed a big data explosion in genomics, thanks to the improvement in high-throughput technologies at drastically decreasing costs. We are entering the era of millions of available genomes. Notably, each genome can be composed of billions of nucleotides stored as plain text files in gigabytes (GBs). It is undeniable that those genome data impose unprecedented data challenges for us. In this article, we briefly discuss the big data challenges associated with genomics in recent years.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.