泛多肽元学习(Pan-Peptide)识别 T细胞受体-抗原绑定2023-03-222023-03-28Bioinformatics/deep learningNMI (nature machine Intelligence)/essayPan-Peptide Meta Learning for T-cell receptor–antigen binding recognition Model-Agnostic Meta-Learning (MAML)模型介绍及算法详解 个人理解:其实把他看作正常的模型训练,它主要目的是能在小样本数2023-03-22|336|0|0
基于深度学习的 T 细胞受体-抗原结合特异性预测2023-03-202023-03-21Bioinformatics/deep learningmachine learning/essay/NMI (nature machine Intelligence)Deep learning-based prediction of the T cell receptor–antigen binding specificity 部分名词解释 HLA:Human Leukocyte Antigen ,人类白细胞抗原,是人类的主要组织相容性复合体(MHC)的表达产物2023-03-20|266|0|0
TandemTools 长串联重复比对工具2022-11-172023-03-16Bioinformatics论文地址TandemMapperSelection of k-mersTandemMapper使用稀少的k-mer,即出现次数小于组装长度除以100kb的值。因为如果使用唯一的k-mer,它的密度可能会变化的特别明显,会导致某些区域的覆盖率下降或者不正确的映射。但由于长串联重复的组装可能会出错,一些2022-11-17|399|0|0
minimap and minimap2 原理介绍2022-08-022023-03-16BioinformaticsMinimap and miniasm: fast mapping and de novo assembly for noisy long sequences 符号定义∑=A,C,G,T\sum = {A,C,G,T}∑=A,C,G,T 为核苷酸的字符表。对于 a∈∑a \in \suma∈∑,a‾2022-08-02|954|0|0
Hinge assemble 安装2022-05-162023-03-16Bioinformaticshinge文章http://genome.cshlp.org/content/27/5/747.full.pdf+html?sid=39918b0d-7a7d-4a12-b720-9238834902fd克隆git clone https://github.com/fxia22/HINGE.gitgit su2022-05-16|428|0|0
HINGE: long-read assembly achieves optimal repeat resolution2022-03-192023-03-16BioinformaticspipelineA:输入是长的高错误率的read,smrt(sms)B:过滤掉一些长度低于固定值的被标记为chimeric的readC:对repeat进行标记,通过能比对到这个read上的read数量的快速增加或者减少来确定。增加或减少存在于同一个read上的这种标记为 brideged repea2022-03-19|295|0|0
DAGCON2021-09-152023-03-16Bioinformaticsbioinformatics/essaygit clone https://github.com/PacificBiosciences/pbdagcon.gitcd pbdagcon修改 makefile中25行, cd blasr_libcpp; NOHDF=1 NOPBBAM=1 python2.7 configure.py查看自己2021-09-15|320|0|0
Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation2021-07-242023-03-16Bioinformaticsbioinformatics/essay2021-07-24|315|0|0
Phased diploid genome assembly with single-molecule real-time sequencing2021-07-202023-03-16Bioinformaticsbioinformatics/essay2021-07-20|459|0|0
MECAT: fast mapping, error correction, and de novo assembly for single-molecule sequencing reads2021-07-152023-03-16Bioinformaticsbioinformatics/essay2021-07-15|383|0|0