Reddit - Genomics
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Reddit - Genomics
17h ago
Hi! I'm a sophomore majoring in Microbiology at the moment. I'm enjoying it, but I've been thinking of a major at my school called Genomics and Molecular Genetics at my school. The reason I want to switch is because I recently picked up a minor in anthropology, which is a major interest of mine, and my dream is to work biological anthropology research, broadly. I'm going with the flow... currently I'm working in a mosquito research lab until I find a lab where I can shadow in biological anthropology.
I do not wish to work in anything medical, and it seems like thats my only option if I stay i ..read more
Reddit - Genomics
2d ago
Also included on report: “This assay contains a limited number of loci for which more than one pathogenic variant has been reported in the affected population (rs5742904, rs80357701/rs80357089, rs80358150/rs273901754, rs80359876/rs80357390, rs80359883/rs41293465, rs80359380/rs80358573, rs76173977, rs139624145, rs145787161, rs267608076/rs63749874, rs387906397, rs267608153, rs267608154/rs63750544) and the current technical platform version cannot reliably distinguish which of the pathogenic variants is present.”
submitted by /u/Overitwisconsin
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Reddit - Genomics
3d ago
I am wondering how a methyl group could be added and what it could do. I don't have background in science. Thanks
submitted by /u/wannabehedgefun
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Reddit - Genomics
3d ago
I was tryna blast TERC gene in humans and zebrafish - unable to get any results on blastn while clustal omega gives an output for the alignment. I could get results with TERT gene - did I download the wrong sequence files or what am I doing wrong?
Ensembl didn't have TERC for Zf and i downloaded from NCBI -
Danio rerio non-coding telomerase RNA gene, complete sequence
Sequence ID: EF569636.1 Length: 317 Number of Matches: 1
and
Homo sapiens telomerase RNA component (TERC), telomerase RNA
Sequence ID: NR_001566.1 Length: 451 Number of Matches: 1
submitted by /u/Mendelianne
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Reddit - Genomics
5d ago
We recently developed a deep learning algorithm that can diagnose a rare disease from a medical imaging source (cardiac MRI).
Now, I am thinking about running this model on all patients from All of us and Biobank, find the patients with disease. Until here, it is simple. The next part is tricky for me and don’t know how should I do it.
After finding patients with disease, I would like to compare them with patients without disease and find new genetic features associated with that disease.
How would one do this? What should I learn to be able to do this? What should I expect from my attempt to ..read more
Reddit - Genomics
5d ago
Are there any NP-complete and NP-Hard ones?
submitted by /u/Seven1s
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Reddit - Genomics
5d ago
I'm working with dna sequences, classifying them into species using Deep Learning Methods, I don't have any background in biology or any knowledge for genomics.
I had a one question, currently I have a dataset that has 70,000 sequences each of 1000 nucleotides length. These are for 9 different covid variants and my task is to classify them accordingly, if for example I take a sample sequence of 1000 nucleotide length that belongs to species 1 and chop it into 10 sequences of 100 length each, could I say that this fragment would also belong to species class 1? does that work? or there needs to ..read more
Reddit - Genomics
6d ago
I’ve been doing whole genome sequencing for over 10 years now, and it is getting to the point where it should be affordable and quick to do for consumers with an Illumina Novaseq X plus.
The catch is, in order for this to be cost effective you need to run ~128 samples for 30x coverage because the consumables for flow cells are very expensive. Takes about 48 hours and an extra week to go from raw sequences (fastq) to an interpretable format (VCF).
The current products companies are offering seem awful with weird subscription models, and 4 month turn around times.
For a full run it should cost ..read more