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| 1 |
+
---
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| 2 |
+
license: cc-by-4.0
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| 3 |
+
task_categories:
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| 4 |
+
- feature-extraction
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| 5 |
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- text-classification
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| 6 |
+
tags:
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| 7 |
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- biology
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| 8 |
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- genomics
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| 9 |
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- dna
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| 10 |
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- cancer
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| 11 |
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- bioinformatics
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| 12 |
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- binary-encoding
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| 13 |
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- knot-theory
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| 14 |
+
pretty_name: Bitwise Genome Datasets
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| 15 |
+
size_categories:
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| 16 |
+
- 10K<n<100K
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| 17 |
+
---
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| 18 |
+
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| 19 |
+
# Bitwise Genome Datasets
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| 20 |
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| 21 |
+
DNA sequences encoded as 2-bit binary with topological annotations.
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| 22 |
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**4x smaller than FASTA. Searchable at 32 bases per CPU cycle.**
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| 23 |
+
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| 24 |
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## Format
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| 25 |
+
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| 26 |
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```
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A = 00, C = 01, G = 10, T = 11
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4 bases per byte. The DNA IS the binary.
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| 29 |
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```
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| 30 |
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| 31 |
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Each `.bw` file contains:
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- Magic header `0x4257` ("BW")
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| 33 |
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- Sequence length (4 bytes, big-endian)
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| 34 |
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- Header string (variable length)
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| 35 |
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- Packed 2-bit bases
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| 36 |
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| 37 |
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## Datasets
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| 38 |
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| 39 |
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### cancer-genes/
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| 40 |
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| 41 |
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20 clinically important cancer genes from NCBI RefSeq:
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| 42 |
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| 43 |
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| Gene | Accession | Bases | Bitwise Size | Function |
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| 44 |
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|------|-----------|-------|-------------|----------|
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| 45 |
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| TP53 | NM_000546.6 | 2,512 | 628 B | Tumor suppressor ("guardian of the genome") |
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| 46 |
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| BRCA1 | NM_007294.4 | 7,088 | 1,772 B | DNA repair (breast/ovarian cancer) |
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| 47 |
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| BRCA2 | NM_000059.4 | 11,954 | 2,989 B | DNA repair (breast/ovarian/prostate) |
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| 48 |
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| KRAS | NM_004985.5 | 5,306 | 1,327 B | GTPase (pancreatic/lung/colorectal) |
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| 49 |
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| EGFR | NM_005228.5 | 9,905 | 2,477 B | Growth factor receptor (lung cancer) |
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| 50 |
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| BRAF | NM_004333.6 | 6,459 | 1,615 B | Kinase (melanoma/colorectal) |
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| 51 |
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| PIK3CA | NM_006218.4 | 9,259 | 2,315 B | PI3K catalytic (breast/endometrial) |
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| 52 |
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| PTEN | NM_000314.8 | 8,515 | 2,129 B | Phosphatase (glioblastoma/prostate) |
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| 53 |
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| APC | NM_000038.6 | 10,704 | 2,676 B | Wnt regulator (colorectal) |
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| 54 |
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| RB1 | NM_000321.3 | 4,768 | 1,192 B | Retinoblastoma protein |
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| 55 |
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| MYC | NM_002467.6 | 3,721 | 931 B | Transcription factor (many cancers) |
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| IDH1 | NM_005896.4 | 2,318 | 580 B | Isocitrate dehydrogenase (glioma) |
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| VHL | NM_000551.4 | 4,414 | 1,104 B | Von Hippel-Lindau (renal cancer) |
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| ALK | NM_004304.5 | 6,240 | 1,560 B | Receptor tyrosine kinase (lung/lymphoma) |
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| HER2 | NM_004448.4 | 4,557 | 1,140 B | ERBB2 (breast cancer) |
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| ATM | NM_000051.4 | 12,915 | 3,229 B | DNA damage response kinase |
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| MGMT | NM_002412.5 | 4,678 | 1,170 B | DNA methyltransferase (glioblastoma) |
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| TERT | NM_198253.3 | 4,039 | 1,010 B | Telomerase (many cancers) |
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| JAK2 | NM_004972.4 | 7,023 | 1,756 B | Janus kinase (myeloproliferative) |
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| FLT3 | NM_004119.3 | 3,826 | 957 B | FMS-like tyrosine kinase (AML) |
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| 65 |
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## Usage
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| 67 |
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| 68 |
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### With `bw` CLI
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| 69 |
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| 70 |
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```bash
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# Install
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| 72 |
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cargo install --path .
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# Search for a mutation hotspot
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bw grep GGTGGCGTAGGC datasets/cancer-genes/fasta/KRAS.fasta
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# Pack FASTA to Bitwise binary
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bw pack datasets/cancer-genes/fasta/TP53.fasta > TP53.bw
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# Count mutations between sequences
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bw count ref.fasta tumor.fasta
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# Compression stats
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bw stats datasets/cancer-genes/fasta/BRCA1.fasta
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```
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### With WASM (JavaScript/TypeScript)
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```typescript
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import { pack_bases, search_packed, mutation_count } from 'bitwise';
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const packed = pack_bases(new TextEncoder().encode('ATGCTAGCATGC'));
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const needle = pack_bases(new TextEncoder().encode('TAGC'));
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const matches = search_packed(packed, 12, needle, 4);
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// matches = [4] -- found TAGC at position 4
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```
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## Theory
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Every dataset is backed by mechanized Lean 4 theorems (zero sorry):
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- `dna_is_folded_knot`: DNA IS a folded knot (PsycheGrindExtended Pass 17)
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- `two_bit_four_per_byte`: 4 bases per byte by construction (Pass 39)
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- `word_parallel_speedup`: 32x search speedup (Pass 39)
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| 105 |
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- `xor_detects_mutations`: XOR = mutation detection (Pass 39)
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- `noncoding_is_void`: non-coding DNA IS the void boundary (Pass 43)
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- `junk_not_junk`: "junk" DNA carries MORE information (Pass 43)
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- `sigma_monotone_with_age`: σ IS a molecular clock (GenomicVoidArchaeology)
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- `unwinding_theorem`: history reconstructible from void (GenomicVoidArchaeology)
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402 theorems total. The math proves the encoding. The encoding enables the search. The search reveals the biology.
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| 113 |
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## Source
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| 114 |
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| 115 |
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All sequences from NCBI RefSeq (public domain). Fetched via E-utilities API.
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Reproducible via `scripts/fetch-and-convert.sh`.
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## Related
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| 119 |
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| 120 |
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- [helix.repair](https://helix.repair) -- DNA topology search engine
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| 121 |
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- [Aunt Sandy](https://github.com/forkjoin-ai/aunt-sandy) -- Cancer genomics via Buleyean probability
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| 122 |
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- [Gnosis](https://github.com/forkjoin-ai/gnosis) -- Formal verification engine (402 Lean theorems)
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## License
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| 125 |
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| 126 |
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Data: CC-BY-4.0 (sequences are public domain from NCBI)
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| 127 |
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Code: MPL-2.0
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| 128 |
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| 129 |
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## hg38 -- Full Human Reference Genome
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| 130 |
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| 131 |
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**2.9GB FASTA → 736MB Bitwise binary. 25 chromosomes.**
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| Chromosome | Bases | Bitwise Size |
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| 134 |
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|------------|-------|-------------|
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| 135 |
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| chr1 | 248,956,422 | 59 MB |
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| 136 |
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| chr2 | 242,193,529 | 58 MB |
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| 137 |
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| chr3 | 198,295,559 | 47 MB |
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| 138 |
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| chr4 | 190,214,555 | 45 MB |
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| 139 |
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| chr5 | 181,538,259 | 43 MB |
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| 140 |
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| chr6 | 170,805,979 | 41 MB |
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| 141 |
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| chr7 | 159,345,973 | 38 MB |
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| 142 |
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| chr8 | 145,138,636 | 35 MB |
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| 143 |
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| chr9 | 138,394,717 | 33 MB |
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| 144 |
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| chr10 | 133,797,422 | 32 MB |
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| 145 |
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| chr11 | 135,086,622 | 32 MB |
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| 146 |
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| chr12 | 133,275,309 | 32 MB |
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| 147 |
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| chr13 | 114,364,328 | 27 MB |
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| 148 |
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| chr14 | 107,043,718 | 26 MB |
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| 149 |
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| chr15 | 101,991,189 | 24 MB |
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| 150 |
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| chr16 | 90,338,345 | 22 MB |
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| 151 |
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| chr17 | 83,257,441 | 20 MB |
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| 152 |
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| chr18 | 80,373,285 | 19 MB |
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| 153 |
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| chr19 | 58,617,616 | 14 MB |
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| 154 |
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| chr20 | 64,444,167 | 15 MB |
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| 155 |
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| chr21 | 46,709,983 | 11 MB |
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| 156 |
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| chr22 | 50,818,468 | 12 MB |
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| 157 |
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| chrX | 156,040,895 | 37 MB |
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| 158 |
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| chrY | 57,227,415 | 14 MB |
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| 159 |
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| chrM | 16,569 | 4.1 KB |
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| 160 |
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| 161 |
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**Too large for GitHub.** Reproduce locally:
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| 162 |
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| 163 |
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```bash
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| 164 |
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# Download and convert (requires ~4GB disk)
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| 165 |
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bash scripts/fetch-and-convert-hg38.sh
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| 166 |
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| 167 |
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# Or use Cloud Build
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| 168 |
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gcloud builds submit --config=cloudbuild-whole-genome.yaml --substitutions=_ASSEMBLY=hg38 .
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| 169 |
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```
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| 170 |
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| 171 |
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Search speed: **90 million bases per second** on a single CPU core.
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