Data · dataset · 2020
LIST-S2: pre-computed deleteriousness of all possible mutations in human (OX=9606) protein sequences
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/pm9tab
LIST-S2 predicts the deleteriousness of amino acid mutations in protein sequences.
Description
Here we provide precomputed predictions of human protein sequences. Scores are in the range [0 .. 1], where lower scores indicate more benign and higher indicate deleteriousness.
One can also visualize/download LIST-S2 scores for all possible mutation of a specific protein sequence identified by its UniProt accession number. precomputed.list-s2.msl.ubc.ca/ LIST-S2 2019_10 tabix files: Precomputed predictions of ~200,000 human protein sequences release 2019_10 identified by their UniParc protein ID (UPI). Columns: 1. UniParc: UniParc protein ID UPI 2.
Read the rest (8 more)
Position: sequence position start at 1. 3. rAA: Reference amino acid. 4. AAA: Allele amino acid. 5. LIST-S2: LIST-S2 score.
Two files: 1. LIST-S2_Human_UniParc_2019_10.tsv.gz.tbi 2. LIST-S2_Human_UniParc_2019_10.tsv.gz, divided into 4 parts: LIST-S2_Human_UniParc_2019_10_part1 LIST-S2_Human_UniParc_2019_10_part2 LIST-S2_Human_UniParc_2019_10_part3 LIST-S2_Human_UniParc_2019_10_part4 To reassemble LIST-S2_Human_UniParc_2019_10.tsv.gz: mv LIST-S2_Human_UniParc_2019_10_part1 LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part2 >> LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part3 >> LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part4 >> LIST-S2_Human_UniParc_2019_10.tsv.gz LIST-S2_OX9606_2019_10: Precomputed predictions of ~200,000 human protein sequences release 2019_10 identified by their UniProt accession.
Columns: 1. AC: Sequence id from the fasta header. 2. Pos: Amino acid position. 3.
Ref: The reference amino acid. 4. Conservation: The average LIST-S2 deleteriousness score of all possible mutations at that position. 5. 20 columns one for each amino acid: The potential deleteriousness LIST-S2 score for mutating the reference amino acid to “this” amino acid. The data is divided into two files: LIST-S2_OX9606_2019_10_part1 LIST-S2_OX9606_2019_10_part2 To reassemble: mv LIST-S2_OX9606_2019_10_part1 OX9606.tar.gz cat LIST-S2_OX9606_2019_10_part2 >> OX9606.tar.gz LIST-S2_Genomic_Human_2019_10.tsv.gz: Precomputed predictions of ~60,000 human protein sequences release 2019_10 identified by their genomic positions.
Columns: 1. Chromosome: chromosome id. 2. position_g: chromosome position 3. ref_n: reference nucleotide. 4. allele_n: allele nucleotide. 5. AC: UniProt accession. 6.
UPI: UniParc protein ID. 7. position_aa: amino acid position. 8. ref_aa: reference amino acid. 9. allele_aa: allele amino acid. 10. LIST-S2: LIST-S2 score. LIST-SI_OX=9606 (2019-07-14): Precomputed predictions of ~115,000 human protein sequences identified by their UniProt accession followed by Ensembl ENST id.
Columns: 1. AC: Sequence id from the fasta header. 2. Pos: Amino acid position. 3.
Ref: The reference amino acid. 4. Conservation: The average LIST-S2 deleteriousness score of all possible mutations at that position. 5. 20 columns one for each amino acid: The potential deleteriousness LIST-S2 score for mutating the reference amino acid to “this” amino acid. The data is divided into two files: LIST-SI_OX=9606_P1.tar.gz and LIST-SI_OX=9606_P2.tar.gz.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FPM9TAB ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/pm9tab ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP2%2… ↗
metadata API · from borealisdata ca
Topics
- Stated by source
- Medicine, Health and Life Sciences · Medicine, Health and Life Sciences
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Life Sciences · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Bioinformatics and computational biology 72%
Provenance · 2 source records, 22 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/PM9TAB | 10 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/PM9TAB | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3102 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |