Update README.md

README.md

@@ -21,7 +21,7 @@ The different datasets are collected from the following resources:
 - [ENCODE](https://www.encodeproject.org/): Histone ChIP-seq data for 10 histone marks in the K562 human cell line were obtained from ENCODE. We downloaded bed narrowPeak files with the following identifiers: H3K4me3 (ENCFF706WUF), H3K27ac (ENCFF544LXB), H3K27me3 (ENCFF323WOT), H3K4me1 (ENCFF135ZLM), H3K36me3 (ENCFF561OUZ), H3K9me3 (ENCFF963GZJ), H3K9ac (ENCFF891CHI), H3K4me2 (ENCFF749KLQ), H4K20me1 (ENCFF909RKY), H2AFZ (ENCFF213OTI). For each dataset, we selected 1kb genomic sequences containing peaks as positive examples and all 1kb sequences not overlapping peaks as negative examples.
 - [Screen](https://screen.wenglab.org/): Human enhancer elements were retrieved from ENCODE's SCREEN database. Distal and proximal enhancers were combined. Enhancers were split in tissue-specific and tissue-invariant based on the vocabulary from [Meuleman et al.](https://www.meuleman.org/research/dhsindex/). Enhancers overlapping regions classified as tissue-invariant were defined as that, while all other enhancers were defined as tissue-specific. We selected 400bp genomic sequences containing enhancers as positive examples and all 400bp sequences not overlapping enhancers as negative examples. We created a binary classification task for the presence of enhancer elements in the sequence (Enhancer) and a multi-label prediction task with labels being tissue-specific enhancer, tissue-invariant enhancer or none (Enhancer types).
 - [Eukaryotic Promoter Database](https://epd.expasy.org/epd/): We downloaded all human promoters from the Eukaryotic Promoter Database, spanning 49bp upstream and 10bp downstream of transcription start sites ([file](https://epd.expasy.org/ftp/epdnew/H_sapiens/006/Hs_EPDnew_006_hg38.bed)). This resulted in 29,598 promoter regions, 3,065 of which were TATA-box promoters (using the motif annotation at [https://epd.expasy.org/ftp/epdnew/H_sapiens/006/db/promoter_motifs.txt](https://epd.expasy.org/ftp/epdnew/H_sapiens/006/db/promoter_motifs.txt)). We selected 300bp genomic sequences containing promoters as positive examples and all 300bp sequences not overlapping promoters as negative examples. These positive and negative examples were used to create three different binary classification tasks: presence of any promoter element (Promoter all), a promoter with a TATA-box motif (Promoter TATA) or a promoter without a TATA-box motif (Promoter non-TATA).
-- [GENCODE](https://www.gencodegenes.org/human/release_44.html): We obtained all human annotated splice sites from GENCODE V44 gene annotation. Annotations were filtered to exclude level 3 transcripts (automated annotation), so all training data was annotated by a human.pancies. Nucleosome occupancy values in these ten datasets were obtained with Chip-Chip experiments and further processed into positive and negative observations to provide the datasets corresponding to the following histone marks:  `H3`, `H4`, `H3K9ac`, `H3K14ac`, `H4ac`, `H3K4me1`, `H3K4me2`, `H3K4me3`, `H3K36me3` and `H3K79me3`
+- [GENCODE](https://www.gencodegenes.org/human/release_44.html): We obtained all human annotated splice sites from GENCODE V44 gene annotation. Annotations were filtered to exclude level 3 transcripts (automated annotation), so all training data was annotated by a human.
 
 ## Dataset Structure
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